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Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 9th International Conference, MIKE 2023, Kristiansand, Norway, June 28–30, 2023, Proceedings / / edited by Seifedine Kadry, Rajendra Prasath
Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 9th International Conference, MIKE 2023, Kristiansand, Norway, June 28–30, 2023, Proceedings / / edited by Seifedine Kadry, Rajendra Prasath
Autore Kadry Seifedine
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (440 pages)
Disciplina 006.3
Altri autori (Persone) PrasathRajendra
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Social sciences - Data processing
Data mining
Computer vision
Education - Data processing
Artificial Intelligence
Computer Application in Social and Behavioral Sciences
Data Mining and Knowledge Discovery
Computer Vision
Computers and Education
ISBN 3-031-44084-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multimodal Body Sensor for Recognizing the Human Activity using DMOA Based FS With DL -- Detection of Chicken Disease based on Day-Age using Pre-trained Model of CNN -- Image Captioning using Xception-Long Short-Term Memory -- Performance Analysis of Different Classifiers using HOG and LBP for Traffic Sign Detection -- Classification of the Class Imbalanced Data Using Mahalanobis Distance With Feature Filtering -- Towards Data-Centric Approaches to Lung Cancer Classification -- Automatic Detection of Waterbodies from Satellite Images Using DeepLabV3+ -- Topic Classification of Text-Based Lesson Questions In Turkish with Berturk -- Highest Accuracy based Automated Depression Prediction using Natural Language Processing -- Crime Prediction using Modified Capsule Network with CrissCross Optimization on the Sentiment Analysis for Cyber-Security -- Sentiment Analysis using Lexical Approach and Fuzzy Logic -- HTTP, WebSocket, and SignalR: A Comparison of Real-Time Online Communication Protocols -- An IoT based Early Alert System to monitor and reduce Electrical Energy Consumption at Home in Smart Cities -- Securing the MANET by detecting the Flooding Attacks using Hybrid CNN-Bi-LSTM-RF Model -- The Smart Coverage Path Planner for Autonomous Drones Using TSP and Tree Selection -- UAV Smart Navigation: Combining Delaunay Triangulation and the Bat Algorithm for Enhanced Efficiency -- A Comparative Analysis of Data Backup and Network Consistency in Cluster-Base Wireless Sensor Network Protocols -- Development of IoT-Healthcare Model for Gastric Cancer from Pathological Images -- Glaucoma Detection using Yolo V5 Algorithm -- Glaucoma Detection using Yolo V5 Algorithm -- Efficient Chest X-Ray Investigation using Firefly Algorithm Optimized Deep and Handcrafted Features -- Disease Risks Prediction Based Web Application using Machine Learning -- Weighted Average Ensemble Approach for Pediatric Pneumonia Diagnosis using Channel Attention Deep CNN Architecture -- Seasonal Disease based Demand Forecasting for Pharmaceutical Medications using Random Forest -- Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson’s Disease -- Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson’s Disease -- Ensemble Learning Based Social Engineering Fraud Detection Module for Cryptocurrency Transactions -- Analysis and Prediction of Crypto Currency using Deep Learning Algorithm -- Detecting the Attacks using Blockchain-Based Decentralized Security Architecture in IoT Environment -- Developing a system based on Block Chain Technology for E-Voting Mechanism -- A Permissioned Blockchain Approach for Real-Time Embedded Control Systems -- An Empirical Study of Machine Learning for Business Enterprises Management of Cloud Computing Services -- Prediction of Stock Market in Small-Scale Business using Deep Learning Techniques -- Predictive Intelligence based Semiconductor Substrate Fault Detection Model with User Interface -- Improving Sustainability with Deep Learning Models for Inland Water Quality Monitoring using Satellite Imagery -- Machine Learning Based Prediction of Student’s Performance Based on Psychological and Behavioral Data -- Task Scheduling based Optimized Based Algorithm for Minimization of Energy Consumption in Cloud Computing Environment.
Record Nr. UNISA-996550551903316
Kadry Seifedine  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mining Intelligence and Knowledge Exploration : 9th International Conference, MIKE 2023, Kristiansand, Norway, June 28–30, 2023, Proceedings / / edited by Seifedine Kadry, Rajendra Prasath
Mining Intelligence and Knowledge Exploration : 9th International Conference, MIKE 2023, Kristiansand, Norway, June 28–30, 2023, Proceedings / / edited by Seifedine Kadry, Rajendra Prasath
Autore Kadry Seifedine
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (440 pages)
Disciplina 006.3
Altri autori (Persone) PrasathRajendra
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Social sciences - Data processing
Data mining
Computer vision
Education - Data processing
Artificial Intelligence
Computer Application in Social and Behavioral Sciences
Data Mining and Knowledge Discovery
Computer Vision
Computers and Education
ISBN 3-031-44084-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multimodal Body Sensor for Recognizing the Human Activity using DMOA Based FS With DL -- Detection of Chicken Disease based on Day-Age using Pre-trained Model of CNN -- Image Captioning using Xception-Long Short-Term Memory -- Performance Analysis of Different Classifiers using HOG and LBP for Traffic Sign Detection -- Classification of the Class Imbalanced Data Using Mahalanobis Distance With Feature Filtering -- Towards Data-Centric Approaches to Lung Cancer Classification -- Automatic Detection of Waterbodies from Satellite Images Using DeepLabV3+ -- Topic Classification of Text-Based Lesson Questions In Turkish with Berturk -- Highest Accuracy based Automated Depression Prediction using Natural Language Processing -- Crime Prediction using Modified Capsule Network with CrissCross Optimization on the Sentiment Analysis for Cyber-Security -- Sentiment Analysis using Lexical Approach and Fuzzy Logic -- HTTP, WebSocket, and SignalR: A Comparison of Real-Time Online Communication Protocols -- An IoT based Early Alert System to monitor and reduce Electrical Energy Consumption at Home in Smart Cities -- Securing the MANET by detecting the Flooding Attacks using Hybrid CNN-Bi-LSTM-RF Model -- The Smart Coverage Path Planner for Autonomous Drones Using TSP and Tree Selection -- UAV Smart Navigation: Combining Delaunay Triangulation and the Bat Algorithm for Enhanced Efficiency -- A Comparative Analysis of Data Backup and Network Consistency in Cluster-Base Wireless Sensor Network Protocols -- Development of IoT-Healthcare Model for Gastric Cancer from Pathological Images -- Glaucoma Detection using Yolo V5 Algorithm -- Glaucoma Detection using Yolo V5 Algorithm -- Efficient Chest X-Ray Investigation using Firefly Algorithm Optimized Deep and Handcrafted Features -- Disease Risks Prediction Based Web Application using Machine Learning -- Weighted Average Ensemble Approach for Pediatric Pneumonia Diagnosis using Channel Attention Deep CNN Architecture -- Seasonal Disease based Demand Forecasting for Pharmaceutical Medications using Random Forest -- Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson’s Disease -- Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson’s Disease -- Ensemble Learning Based Social Engineering Fraud Detection Module for Cryptocurrency Transactions -- Analysis and Prediction of Crypto Currency using Deep Learning Algorithm -- Detecting the Attacks using Blockchain-Based Decentralized Security Architecture in IoT Environment -- Developing a system based on Block Chain Technology for E-Voting Mechanism -- A Permissioned Blockchain Approach for Real-Time Embedded Control Systems -- An Empirical Study of Machine Learning for Business Enterprises Management of Cloud Computing Services -- Prediction of Stock Market in Small-Scale Business using Deep Learning Techniques -- Predictive Intelligence based Semiconductor Substrate Fault Detection Model with User Interface -- Improving Sustainability with Deep Learning Models for Inland Water Quality Monitoring using Satellite Imagery -- Machine Learning Based Prediction of Student’s Performance Based on Psychological and Behavioral Data -- Task Scheduling based Optimized Based Algorithm for Minimization of Energy Consumption in Cloud Computing Environment.
Record Nr. UNINA-9910746997503321
Kadry Seifedine  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 6th International Conference, MIKE 2018, Cluj-Napoca, Romania, December 20–22, 2018, Proceedings / / edited by Adrian Groza, Rajendra Prasath
Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 6th International Conference, MIKE 2018, Cluj-Napoca, Romania, December 20–22, 2018, Proceedings / / edited by Adrian Groza, Rajendra Prasath
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIII, 386 p. 182 illus., 98 illus. in color.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-030-05918-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Evolutionary computation -- Knowledge exploration in IoT -- Artificial intelligence -- Machine learning -- Image processing -- Pattern recognition -- Speech processing -- Information retrieval -- Natural language processing -- Social network analysis -- Security -- Fuzzy rough sets.
Record Nr. UNISA-996466316903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mining Intelligence and Knowledge Exploration : 6th International Conference, MIKE 2018, Cluj-Napoca, Romania, December 20–22, 2018, Proceedings / / edited by Adrian Groza, Rajendra Prasath
Mining Intelligence and Knowledge Exploration : 6th International Conference, MIKE 2018, Cluj-Napoca, Romania, December 20–22, 2018, Proceedings / / edited by Adrian Groza, Rajendra Prasath
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIII, 386 p. 182 illus., 98 illus. in color.)
Disciplina 006.3
006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Artificial Intelligence
ISBN 3-030-05918-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Evolutionary computation -- Knowledge exploration in IoT -- Artificial intelligence -- Machine learning -- Image processing -- Pattern recognition -- Speech processing -- Information retrieval -- Natural language processing -- Social network analysis -- Security -- Fuzzy rough sets.
Record Nr. UNINA-9910349386403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 4th International Conference, MIKE 2016, Mexico City, Mexico, November 13 - 19, 2016, Revised Selected Papers / / edited by Rajendra Prasath, Alexander Gelbukh
Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 4th International Conference, MIKE 2016, Mexico City, Mexico, November 13 - 19, 2016, Revised Selected Papers / / edited by Rajendra Prasath, Alexander Gelbukh
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XII, 185 p. 50 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Natural language processing (Computer science)
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Natural Language Processing (NLP)
ISBN 3-319-58130-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Information retrieval -- Machine learning -- Pattern recognition -- Knowledge discovery -- Classification.-Clustering, -- Image processing -- Network security -- Speech processing -- Natural language processing -- Language, -- Cognition and Computation -- Fuzzy sets, and Business Intelligence.
Record Nr. UNISA-996465794403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath
Mining Intelligence and Knowledge Exploration [[electronic resource] ] : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XX, 438 p. 125 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Data mining
Computer vision
Biometric identification
Algorithms
Artificial Intelligence
Computer and Information Systems Applications
Data Mining and Knowledge Discovery
Computer Vision
Biometrics
ISBN 3-319-71928-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Functional Link Artificial Neural Network for Multi-label Classification -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Functional Link Artificial Neural Network (FLANN) -- 3.2 Representation of Multi-label Data -- 4 The Proposed Multi-label FLANN (MLFLANN) -- 4.1 Architecture of the Network -- 4.2 Training Phase -- 4.3 Testing Phase -- 5 Experimental Details and Analysis of Results -- 5.1 Datasets Used -- 5.2 Results and Analysis -- 6 Conclusion -- References -- Emotion Recognition Through Facial Gestures - A Deep Learning Approach -- Abstract -- 1 Introduction -- 2 Dataset -- 3 Preprocessing -- 4 Emotion Prediction Using SVM -- 5 System Architecture -- 5.1 Training Phase -- 5.2 Testing Phase -- 6 Convolutional Neural Network -- 7 Various Attempted Networks, Their Comparisons and the Selection of Proposed Network -- 8 Proposed Network Architecture -- 9 Results -- 10 Conclusion -- References -- Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents -- 1 Introduction -- 2 Related Work and Background -- 3 Datasets -- 4 Methods: Label Scoring, Reranking, and Thresholding -- 4.1 Label Scoring -- 4.2 Label (re)ranking -- 4.3 Label Cut-Off/Thresholding -- 5 Experiment and Results -- 6 Conclusion -- References -- A Betweenness Centrality Guided Clustering Algorithm and Its Applications to Cancer Diagnosis -- 1 Introduction -- 2 Clustering Using Betweenness Centrality on Spanning Subgraph -- 3 Experimental Analysis -- 4 Conclusion and Future Scope -- References -- MahalCUSFilter: A Hybrid Undersampling Method to Improve the Minority Classification Rate of Imbalanced Datasets -- 1 Introduction -- 2 Related Work -- 2.1 Undersampling -- 3 Proposed Method -- 3.1 Motivation for the Proposed Method -- 3.2 Theoritical Background of Proposed Method.
3.3 Framework for the Proposed Method -- 3.4 Results -- 4 Conclusions -- References -- Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework -- Abstract -- 1 Introduction -- 2 Proposed Methodology -- 3 Polygonal Approximation -- 4 Construction and Regularization of the Skeleton -- 5 Bezier Curve Description -- 6 Data Structure -- 7 Experimental Results -- 8 Conclusion -- Acknowledgements -- References -- Trust Distrust Enhanced Recommendations Using an Effective Similarity Measure -- 1 Introduction -- 2 Related Work -- 2.1 Collaborative Filtering -- 2.2 Trust Model -- 3 Trust Distrust Enhanced Recommendation Framework -- 4 Experiment Setup -- 4.1 Design of Experiments -- 4.2 Performance Evaluation -- 4.3 Experiments -- 4.4 Result -- 5 Conclusion -- References -- Language Identification Based on the Variations in Intonation Using Multi-classifier Systems -- Abstract -- 1 Introduction -- 2 Proposed Work -- 3 Implementation -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Cognitive Decision Making for Navigation Assistance Based on Intent Recognition -- 1 Introduction -- 2 Model of Intention Prediction -- 2.1 Features -- 2.2 Intention Recognition -- 2.3 Orientation and Distance -- 3 Implementation and Results -- 3.1 Navigation Path -- 3.2 Avoiding Obstacle -- 4 Analysis -- 5 Conclusion -- References -- Clinical Intelligence: A Data Mining Study on Corneal Transplantation -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Cornea -- 2.2 Clinical Intelligence System -- 2.3 Related Work -- 3 Methods and Tools -- 4 Case Study -- 4.1 Business Understanding -- 4.2 Data Understanding -- 4.3 Data Preparation -- 4.4 Modeling -- 4.5 Evaluation -- 5 Discussion -- 6 Conclusions and Future Work -- Acknowledgement -- References.
High-Quality Medical Image Compression Using Discrete Orthogonal Cosine Stockwell Transform and Optimal Integer Bit Allocated Quantization -- Abstract -- 1 Introduction -- 2 Proposed Medical Image Codec -- 2.1 Designing of the Image Transformation Block for the Proposed Codec -- 2.2 Optimal Bit Allocated Quantization Block for the Proposed Codec -- 3 Results and Discussions -- 3.1 Time Complexity Analysis of the Proposed Medical Image Codec -- 4 Conclusions -- References -- Coprime Mapping Transformation for Protected and Revocable Fingerprint Template Generation -- 1 Introduction -- 1.1 Background -- 1.2 Existing Approaches -- 1.3 Contributions -- 2 Proposed Scheme -- 2.1 Pre-processing and Minutiae Extraction -- 2.2 Feature Extraction -- 2.3 Cancelable Template Generation -- 2.4 Matching -- 3 Experimental Results and Analysis -- 3.1 Validation of Parameter: Number of Sectors (s) -- 3.2 Performance -- 3.3 Baseline Comparison -- 3.4 Comparison with Existing Approaches -- 4 Security Analysis -- 4.1 Irreversibility Analysis -- 4.2 Revocability Analysis -- 4.3 Diversity Analysis -- 5 Conclusion -- References -- Supervised Asymmetric Metric Extraction: An Approach to Combine Distances -- 1 Introduction -- 2 Metric Approaches in Machine Learning -- 3 Supervised Asymmetric Metric Extraction -- 4 Biometric Applications -- 4.1 Datasets and Original Metrics -- 4.2 Learned Metrics -- 4.3 Performance Test -- 5 Conclusion -- References -- Interval-Valued Writer-Dependent Global Features for Off-line Signature Verification -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Feature Computation -- 2.2 Selection of Writer-Dependent Features -- 2.3 Fixation of Feature Dimension and Threshold for Individual Writer -- 2.4 Clustering and Creation of Interval-Valued Feature Vector -- 2.5 Verification -- 3 Experimentation and Results -- 4 Comparative Analysis.
5 Conclusion -- References -- Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Analysis -- 3.1 Dataset -- 3.2 Result and Analysis -- 4 Conclusion -- References -- Fingerprint Image Quality Assessment and Scoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Block Quality Labeling -- 3.2 Fingerprint Quality Score Computation -- 4 Experimental Results -- 5 Conclusions -- References -- A Multi-objective Evolutionary Algorithm for Color Image Segmentation -- 1 Introduction -- 2 Proposed Approach -- 2.1 Representation of Individuals -- 2.2 Generation of Initial Segments -- 2.3 Objective Functions -- 2.4 Evolutionary Operators -- 3 Evaluation Criterion: Modified PRI -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Face Recognition by RBF with Wavelet, DCV and Modified LBP Operator Face Representation Methods -- Abstract -- 1 Introduction -- 2 Face Representation -- 2.1 Wavelet Transformation -- 2.2 Wavelet Packet Transformation -- 2.3 Discriminative Common Vector -- 2.4 Proposed Local Binary Pattern -- 3 Recognition by Radial Basis Function Neural Network -- 3.1 Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References -- DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition -- 1 Introduction -- 2 IIIT-H Telugu Speech Corpus -- 3 System Overview -- 4 DNN-HMM Modeling -- 4.1 Deep Neural Networks -- 4.2 Ergodic HMMs -- 4.3 Training for DNN-HMM -- 4.4 Testing for DNN-HMM -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Memetic Algorithm Based on Global-Best Harmony Search and Hill Climbing for Part of Speech Tagging -- Abstract -- 1 Introduction -- 2 Related Works.
2.1 Traditional Approaches to Build POS Taggers -- 2.2 Metaheuristic Algorithms as an Approach to Build POS Taggers -- 2.3 Tagsets for Tagging Corpus and Tagged Corpus -- 3 Harmony Search Algorithm -- 4 Algorithm Proposed for the Tagging Problem -- 4.1 Part-of-Speech Tagging (POST) Problem -- 4.2 Part-of-Speech Tagging as an Optimization Problem -- 4.3 Global-Best Harmony Search Tagger -- 5 Experiments, Analyses, and Comparisons -- 5.1 Configuration -- 5.2 Results -- 6 Conclusions and Future Work -- Acknowledgements -- References -- A Study on Crossmodal Correspondence in Sensory Pathways Through Forced Choice Task and Frequency Ba ... -- Abstract -- 1 Introduction -- 2 Theory -- 3 Materials and Methods -- 3.1 Participants -- 3.2 Stimuli -- 3.3 Procedure -- 3.4 Analysis of Words -- 4 Results and Discussion -- 5 Conclusions -- References -- Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition -- 1 Introduction -- 2 Baseline HMM Recognizer -- 3 Spectral Peak Based Point Process Representation of Speech -- 3.1 Identification of Spectral Peaks -- 3.2 Removal of Spurious Spectral Peaks -- 4 Bankwise Segmentation of Spectral Peaks -- 5 Point Process Model Based Isolated Word Recognizer -- 6 Experimentation and Results -- 7 Conclusion -- References -- Significance of DNN-AM for Multimodal Sentiment Analysis -- 1 Introduction -- 2 Databases -- 2.1 Spanish Database -- 2.2 Hindi Database -- 3 Audio Sentiment Classification -- 3.1 DNNAM -- 4 Sentiment Analysis Using Text Features -- 5 Multimodal Sentiment Analysis -- 6 Summary and Conclusions -- References -- Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 General Scheme -- 2.2 "N-Gram Vs Sentence" Matrix Text Representation Model -- 2.3 Extracting Hidden Topics Using ONMF.
2.4 Using N-Gram Based Topics for Keywords Extraction and Document's Relevance Estimation.
Record Nr. UNISA-996466430403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mining Intelligence and Knowledge Exploration : 4th International Conference, MIKE 2016, Mexico City, Mexico, November 13 - 19, 2016, Revised Selected Papers / / edited by Rajendra Prasath, Alexander Gelbukh
Mining Intelligence and Knowledge Exploration : 4th International Conference, MIKE 2016, Mexico City, Mexico, November 13 - 19, 2016, Revised Selected Papers / / edited by Rajendra Prasath, Alexander Gelbukh
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XII, 185 p. 50 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Natural language processing (Computer science)
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Natural Language Processing (NLP)
ISBN 3-319-58130-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Information retrieval -- Machine learning -- Pattern recognition -- Knowledge discovery -- Classification.-Clustering, -- Image processing -- Network security -- Speech processing -- Natural language processing -- Language, -- Cognition and Computation -- Fuzzy sets, and Business Intelligence.
Record Nr. UNINA-9910484509703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mining Intelligence and Knowledge Exploration : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath
Mining Intelligence and Knowledge Exploration : 5th International Conference, MIKE 2017, Hyderabad, India, December 13–15, 2017, Proceedings / / edited by Ashish Ghosh, Rajarshi Pal, Rajendra Prasath
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XX, 438 p. 125 illus.)
Disciplina 006.3
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Application software
Data mining
Computer vision
Biometric identification
Algorithms
Artificial Intelligence
Computer and Information Systems Applications
Data Mining and Knowledge Discovery
Computer Vision
Biometrics
ISBN 3-319-71928-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Functional Link Artificial Neural Network for Multi-label Classification -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Functional Link Artificial Neural Network (FLANN) -- 3.2 Representation of Multi-label Data -- 4 The Proposed Multi-label FLANN (MLFLANN) -- 4.1 Architecture of the Network -- 4.2 Training Phase -- 4.3 Testing Phase -- 5 Experimental Details and Analysis of Results -- 5.1 Datasets Used -- 5.2 Results and Analysis -- 6 Conclusion -- References -- Emotion Recognition Through Facial Gestures - A Deep Learning Approach -- Abstract -- 1 Introduction -- 2 Dataset -- 3 Preprocessing -- 4 Emotion Prediction Using SVM -- 5 System Architecture -- 5.1 Training Phase -- 5.2 Testing Phase -- 6 Convolutional Neural Network -- 7 Various Attempted Networks, Their Comparisons and the Selection of Proposed Network -- 8 Proposed Network Architecture -- 9 Results -- 10 Conclusion -- References -- Supervised Approaches to Assign Cooperative Patent Classification (CPC) Codes to Patents -- 1 Introduction -- 2 Related Work and Background -- 3 Datasets -- 4 Methods: Label Scoring, Reranking, and Thresholding -- 4.1 Label Scoring -- 4.2 Label (re)ranking -- 4.3 Label Cut-Off/Thresholding -- 5 Experiment and Results -- 6 Conclusion -- References -- A Betweenness Centrality Guided Clustering Algorithm and Its Applications to Cancer Diagnosis -- 1 Introduction -- 2 Clustering Using Betweenness Centrality on Spanning Subgraph -- 3 Experimental Analysis -- 4 Conclusion and Future Scope -- References -- MahalCUSFilter: A Hybrid Undersampling Method to Improve the Minority Classification Rate of Imbalanced Datasets -- 1 Introduction -- 2 Related Work -- 2.1 Undersampling -- 3 Proposed Method -- 3.1 Motivation for the Proposed Method -- 3.2 Theoritical Background of Proposed Method.
3.3 Framework for the Proposed Method -- 3.4 Results -- 4 Conclusions -- References -- Bezier Curve Based Continuous Medial Representation for Shape Analysis: A Theoretical Framework -- Abstract -- 1 Introduction -- 2 Proposed Methodology -- 3 Polygonal Approximation -- 4 Construction and Regularization of the Skeleton -- 5 Bezier Curve Description -- 6 Data Structure -- 7 Experimental Results -- 8 Conclusion -- Acknowledgements -- References -- Trust Distrust Enhanced Recommendations Using an Effective Similarity Measure -- 1 Introduction -- 2 Related Work -- 2.1 Collaborative Filtering -- 2.2 Trust Model -- 3 Trust Distrust Enhanced Recommendation Framework -- 4 Experiment Setup -- 4.1 Design of Experiments -- 4.2 Performance Evaluation -- 4.3 Experiments -- 4.4 Result -- 5 Conclusion -- References -- Language Identification Based on the Variations in Intonation Using Multi-classifier Systems -- Abstract -- 1 Introduction -- 2 Proposed Work -- 3 Implementation -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Cognitive Decision Making for Navigation Assistance Based on Intent Recognition -- 1 Introduction -- 2 Model of Intention Prediction -- 2.1 Features -- 2.2 Intention Recognition -- 2.3 Orientation and Distance -- 3 Implementation and Results -- 3.1 Navigation Path -- 3.2 Avoiding Obstacle -- 4 Analysis -- 5 Conclusion -- References -- Clinical Intelligence: A Data Mining Study on Corneal Transplantation -- Abstract -- 1 Introduction -- 2 Background -- 2.1 Cornea -- 2.2 Clinical Intelligence System -- 2.3 Related Work -- 3 Methods and Tools -- 4 Case Study -- 4.1 Business Understanding -- 4.2 Data Understanding -- 4.3 Data Preparation -- 4.4 Modeling -- 4.5 Evaluation -- 5 Discussion -- 6 Conclusions and Future Work -- Acknowledgement -- References.
High-Quality Medical Image Compression Using Discrete Orthogonal Cosine Stockwell Transform and Optimal Integer Bit Allocated Quantization -- Abstract -- 1 Introduction -- 2 Proposed Medical Image Codec -- 2.1 Designing of the Image Transformation Block for the Proposed Codec -- 2.2 Optimal Bit Allocated Quantization Block for the Proposed Codec -- 3 Results and Discussions -- 3.1 Time Complexity Analysis of the Proposed Medical Image Codec -- 4 Conclusions -- References -- Coprime Mapping Transformation for Protected and Revocable Fingerprint Template Generation -- 1 Introduction -- 1.1 Background -- 1.2 Existing Approaches -- 1.3 Contributions -- 2 Proposed Scheme -- 2.1 Pre-processing and Minutiae Extraction -- 2.2 Feature Extraction -- 2.3 Cancelable Template Generation -- 2.4 Matching -- 3 Experimental Results and Analysis -- 3.1 Validation of Parameter: Number of Sectors (s) -- 3.2 Performance -- 3.3 Baseline Comparison -- 3.4 Comparison with Existing Approaches -- 4 Security Analysis -- 4.1 Irreversibility Analysis -- 4.2 Revocability Analysis -- 4.3 Diversity Analysis -- 5 Conclusion -- References -- Supervised Asymmetric Metric Extraction: An Approach to Combine Distances -- 1 Introduction -- 2 Metric Approaches in Machine Learning -- 3 Supervised Asymmetric Metric Extraction -- 4 Biometric Applications -- 4.1 Datasets and Original Metrics -- 4.2 Learned Metrics -- 4.3 Performance Test -- 5 Conclusion -- References -- Interval-Valued Writer-Dependent Global Features for Off-line Signature Verification -- Abstract -- 1 Introduction -- 2 Proposed Method -- 2.1 Feature Computation -- 2.2 Selection of Writer-Dependent Features -- 2.3 Fixation of Feature Dimension and Threshold for Individual Writer -- 2.4 Clustering and Creation of Interval-Valued Feature Vector -- 2.5 Verification -- 3 Experimentation and Results -- 4 Comparative Analysis.
5 Conclusion -- References -- Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer -- 1 Introduction -- 2 Proposed Approach -- 3 Experimental Analysis -- 3.1 Dataset -- 3.2 Result and Analysis -- 4 Conclusion -- References -- Fingerprint Image Quality Assessment and Scoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Block Quality Labeling -- 3.2 Fingerprint Quality Score Computation -- 4 Experimental Results -- 5 Conclusions -- References -- A Multi-objective Evolutionary Algorithm for Color Image Segmentation -- 1 Introduction -- 2 Proposed Approach -- 2.1 Representation of Individuals -- 2.2 Generation of Initial Segments -- 2.3 Objective Functions -- 2.4 Evolutionary Operators -- 3 Evaluation Criterion: Modified PRI -- 4 Experiments and Results -- 4.1 Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusion -- References -- Face Recognition by RBF with Wavelet, DCV and Modified LBP Operator Face Representation Methods -- Abstract -- 1 Introduction -- 2 Face Representation -- 2.1 Wavelet Transformation -- 2.2 Wavelet Packet Transformation -- 2.3 Discriminative Common Vector -- 2.4 Proposed Local Binary Pattern -- 3 Recognition by Radial Basis Function Neural Network -- 3.1 Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References -- DNN-HMM Acoustic Modeling for Large Vocabulary Telugu Speech Recognition -- 1 Introduction -- 2 IIIT-H Telugu Speech Corpus -- 3 System Overview -- 4 DNN-HMM Modeling -- 4.1 Deep Neural Networks -- 4.2 Ergodic HMMs -- 4.3 Training for DNN-HMM -- 4.4 Testing for DNN-HMM -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Memetic Algorithm Based on Global-Best Harmony Search and Hill Climbing for Part of Speech Tagging -- Abstract -- 1 Introduction -- 2 Related Works.
2.1 Traditional Approaches to Build POS Taggers -- 2.2 Metaheuristic Algorithms as an Approach to Build POS Taggers -- 2.3 Tagsets for Tagging Corpus and Tagged Corpus -- 3 Harmony Search Algorithm -- 4 Algorithm Proposed for the Tagging Problem -- 4.1 Part-of-Speech Tagging (POST) Problem -- 4.2 Part-of-Speech Tagging as an Optimization Problem -- 4.3 Global-Best Harmony Search Tagger -- 5 Experiments, Analyses, and Comparisons -- 5.1 Configuration -- 5.2 Results -- 6 Conclusions and Future Work -- Acknowledgements -- References -- A Study on Crossmodal Correspondence in Sensory Pathways Through Forced Choice Task and Frequency Ba ... -- Abstract -- 1 Introduction -- 2 Theory -- 3 Materials and Methods -- 3.1 Participants -- 3.2 Stimuli -- 3.3 Procedure -- 3.4 Analysis of Words -- 4 Results and Discussion -- 5 Conclusions -- References -- Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition -- 1 Introduction -- 2 Baseline HMM Recognizer -- 3 Spectral Peak Based Point Process Representation of Speech -- 3.1 Identification of Spectral Peaks -- 3.2 Removal of Spurious Spectral Peaks -- 4 Bankwise Segmentation of Spectral Peaks -- 5 Point Process Model Based Isolated Word Recognizer -- 6 Experimentation and Results -- 7 Conclusion -- References -- Significance of DNN-AM for Multimodal Sentiment Analysis -- 1 Introduction -- 2 Databases -- 2.1 Spanish Database -- 2.2 Hindi Database -- 3 Audio Sentiment Classification -- 3.1 DNNAM -- 4 Sentiment Analysis Using Text Features -- 5 Multimodal Sentiment Analysis -- 6 Summary and Conclusions -- References -- Pattern Based Information Retrieval Approach to Discover Extremist Information on the Internet -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 General Scheme -- 2.2 "N-Gram Vs Sentence" Matrix Text Representation Model -- 2.3 Extracting Hidden Topics Using ONMF.
2.4 Using N-Gram Based Topics for Keywords Extraction and Document's Relevance Estimation.
Record Nr. UNINA-9910483935103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Mining Intelligence and Knowledge Exploration [[electronic resource] ] : Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings / / edited by Rajendra Prasath, Anil Kumar Vuppala, T. Kathirvalavakumar
Mining Intelligence and Knowledge Exploration [[electronic resource] ] : Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings / / edited by Rajendra Prasath, Anil Kumar Vuppala, T. Kathirvalavakumar
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVIII, 713 p. 216 illus. in color.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Optical data processing
Algorithms
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Computer Imaging, Vision, Pattern Recognition and Graphics
Algorithm Analysis and Problem Complexity
ISBN 3-319-26832-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466218803316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mining Intelligence and Knowledge Exploration : Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings / / edited by Rajendra Prasath, Anil Kumar Vuppala, T. Kathirvalavakumar
Mining Intelligence and Knowledge Exploration : Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings / / edited by Rajendra Prasath, Anil Kumar Vuppala, T. Kathirvalavakumar
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XVIII, 713 p. 216 illus. in color.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Data mining
Information storage and retrieval
Application software
Optical data processing
Algorithms
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Computer Imaging, Vision, Pattern Recognition and Graphics
Algorithm Analysis and Problem Complexity
ISBN 3-319-26832-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483874803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui