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Big Data Analytics : Proceedings of CSI 2015 / / edited by V. B. Aggarwal, Vasudha Bhatnagar, Durgesh Kumar Mishra
| Big Data Analytics : Proceedings of CSI 2015 / / edited by V. B. Aggarwal, Vasudha Bhatnagar, Durgesh Kumar Mishra |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVIII, 766 p. 280 illus., 178 illus. in color.) |
| Disciplina | 005 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Data mining
Computational intelligence Big data Application software Quality of life Data Mining and Knowledge Discovery Computational Intelligence Big Data/Analytics Computer Appl. in Administrative Data Processing Quality of Life Research |
| ISBN | 981-10-6620-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Title of the Papers along with the Name of the Authors -- Need for Developing Intelligent Interfaces for Big Data Analytics in the Micro Finance Industry -- Unified Resource Descriptor over KAAS Framework Refining Cloud Dynamics -- An Adoptable and Secure Intelligent Smart Card Framework for Internet of Things and Cloud Computing -- A Framework for Ontology Learning from Taxonomic Data -- Leveraging Map-Reduce with Column Oriented Stores: Study of Solutions and Benefits -- Hadoop: Solution to Unstructured Data Handling -- Task Based Load Balancing Algorithm by Efficient Utilization of VMs in Cloud Computing -- A Load Balancing Algorithm Based on Processing Capacities of VMs in Cloud Computing -- Package Based Approach for Load Balancing in Cloud Computing -- Workload Prediction of e-Business Websites on Cloud Using Different Methods of ANN -- Data Security in Cloud Based Analytics -- Ontology Based Ranking in Search Engine -- Hidden Data extraction Using URL Templates Processing -- Automatic Generation of Ontology for Extracting Hidden Web Pages -- Importance of SLA in Cloud Computing -- A Survey on Cloud Computing -- Adapting & Reducing Cost in Cloud Paradigm (ARCCP) -- Power Aware Based Workflow Model of Grid Computing Using Ant Based Heuristic Approach -- Image Categorization Using Improved Data Mining Technique -- An Effective Hybrid Encryption Algorithm for Ensuring Cloud Data Security -- Big Data Analytics: Recent and Emerging Application in Services Industry -- An Analysis of Resource Aware Adaptive Scheduling for HPC Clusters with Hadoop -- Analytical and Perspective Approach of Big Data in Cloud Computing -- Implementation of CouchDB Views -- Evolution of FOAF and SIOC in Semantic Web: A Survey -- Classification of e-Commerce Products Using Rep-Tree And K-Mean Hybrid Approach -- A Study of Factors Affecting MapReduce Scheduling -- Outlier Detection in Agriculture Domain: Application and Techniques -- A Framework for Twitter Data Analysis -- Web Structure Mining Algorithms: A Survey -- Big Data Analytics via IoT with Cloud Service -- A Proposed Contextual Model for Big Data Analysis Using Advanced Analytics -- Ranked Search over Encrypted Cloud Data in Azure Using Secure kNN -- DCI3 Model for Privacy Preserving in Big Data -- Study of Sentiment Analysis Using Hadoop -- OPTIMA(OPinionated Tweet Implied Mining and Analysis) - An Innovative Tool to Automate Sentiment Analysis -- Mobile Agent Based MapReduce Framework for Big Data Processing -- Review of Parallel Apriori Algorithm on Map Reduce Framework for Performance Enhancement -- A Novel Approach to Realize Internet of Intelligent Things -- An Innovative Approach of Web Page Ranking Using Hadoop and MapReduce Based Cloud Framework -- SAASQUAL: A Quality Model for Evaluating SaaS on the Cloud Computing Environment -- Scalable Aspect Based Summarization in the Hadoop Environment -- Parallel Mining of Frequent Itemsets from Memory Mapped Files -- Handling Smurfing Through Big Data -- A Novel Approach for Semantic Prefetching Using Semantic Information and Semantic Association -- Optimized Cost Model with Optimal Resource Usage for Cloud -- Understanding Live Migration Techniques Intended for Resource Interference Minimization in Virtualized Cloud Environment -- Cloud Security Issues and Challenges -- A Novel Approach to Protect Cloud Environments Against DDOS Attacks -- An Approach for Workflow Scheduling in Cloud Using ACO -- Data Type Identification and Extension Validator Framework Model for Public Cloud Storage -- Robust Fuzzy Neuro System for Big Data Analytics -- Deployment of Cloud Using Open Source Virtualization: Study of VM Migration Methods and Benefits -- Implementation of Category-wise Focused Web Crawler -- MAYA: An Approach for Energy and Cost Optimization for Mobile Cloud Computing Environments -- Load Balancing in Cloud – A Systematic Review -- Cloud-Based Big Data Analytics – A Survey of Current Research and Future Directions -- Fully Homomorphic Encryption Scheme with Probabilistic Encryption Based on Euler’s Theorem and Application in Cloud Computing -- Big Data: Issues, Challenges and Techniques in Business Intelligence -- Cloud Computing in Bioinformatics and Big Data Analytics: Current Status and Future Research -- Generalized Query Processing Mechanism in CDBMS -- Deliberative Study of Security Issues in Cloud Computing -- Green Cloud Computing: An Overview -- Literature Review of QoS with Load Balancing in Cloud Computing Environment -- WAMLB: Weighted Active Monitoring Load Balancing in Cloud Computing -- Applications of Attribute Based Encryption in Cloud Computing Environment -- Query Optimization: Issues and Challenges in Mining of Distributed Data -- Comprehensive Study of Cloud Computing and Related Security Issues -- Healthcare Data Analysis Using R and MongoDB -- Data Mining Tools and Techniques for Mining Software Repositories: A Systematic Review -- SWOT Analysis of Cloud Computing Environment -- A Review on Quality of Service in Cloud Computing -- Association Rule Mining for Finding Admission Tendency of Engineering Student with Pattern Growth Appraoch -- Integrated Effect of Nearest Neighbors and Distance Measures in k-NN Algorithm. |
| Record Nr. | UNINA-9910299564603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Analytics [[electronic resource] ] : 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015, Proceedings / / edited by Naveen Kumar, Vasudha Bhatnagar
| Big Data Analytics [[electronic resource] ] : 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015, Proceedings / / edited by Naveen Kumar, Vasudha Bhatnagar |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 267 p. 104 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Health informatics Database management Information storage and retrieval Algorithms Data Mining and Knowledge Discovery Health Informatics Database Management Information Storage and Retrieval Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-27057-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Big Data: Security and Privacy -- Privacy Protection or Data Value: Can We Have Both? -- 1 Introduction -- 2 Big Data -- 3 Privacy -- 3.1 Individuals Own Data About Themselves -- 3.2 Corporations Own Data Collected -- 3.3 Shared Ownership of Data -- 3.4 Summary -- Ownership -- 4 Privacy Principles -- 5 A Call for a New Approach -- 5.1 User and Corporate Obligations -- 5.2 System Obligations -- 5.3 Data Acquisition Process -- 5.4 Managing Private Queries -- 6 Summary -- References -- Open Source Social Media Analytics for Intelligence and Security Informatics Applications -- 1 Introduction -- 1.1 Online Social Media -- 1.2 Intelligence and Security Informatics -- 2 Technical and Computational Challenges -- 3 Machine Learning and Data Mining Techniques -- 4 Case Studies -- 4.1 Identification of Extremist Content, Users and Communities -- 4.2 Event Forecasting for Civil Unrest Related Events -- 5 Characterization and Classification of Related Work -- 6 ISI Leading Conferences and Journals -- 7 Conclusions -- References -- Big Data in Commerce -- Information Exploration in E-Commerce Databases -- 1 Introduction -- 2 Search Interface in E-Commerce -- 3 Obstacles in Exploratory Search -- 3.1 Limited Feedback in the Query Panel -- 3.2 Low Adaptivity of the Result Panel -- 3.3 Information Loss from Hidden Attributes -- 4 Extensions to Facilitate Exploratory Search -- 4.1 Exploratory Search in Query Panel -- 4.2 Exploratory Search in Result Panel -- 5 Evaluation -- 6 Conclusion -- References -- A Framework to Harvest Page Views of Web for Banner Advertising -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Existing Framework -- 3.2 Proposed Framework -- 4 Design Issues -- 5 Summary and Conclusions -- References -- Utility-Based Control Flow Discovery from Business Process Event Logs.
1 Research Motivation and Aim -- 2 Related Work and Research Contributions -- 3 Research Framework and Solution Approach -- 4 Experimental Analysis and Results -- 4.1 Experimental Dataset -- 4.2 Experimental Results -- 4.3 Airport Dataset Results -- 4.4 BPI 2014 Dataset Results -- 5 Conclusion -- References -- An Efficient Algorithm for Mining High-Utility Itemsets with Discount Notion -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Preliminary -- 3.2 UP-Hist Tree and UP-Hist Algorithm -- 3.3 Utility-List Data Structure and FHM Algorithm -- 3.4 Three-Phase Algorithm for Mining High-Utility Itemsets with Discount Strategies -- 4 Integration of Discount Notion in State-of-the-art Algorithms -- 4.1 UP-Hist Discount Algorithm -- 4.2 FHM Discount Algorithm -- 5 Mining High-Utility Itemsets -- 6 Experiments and Results -- 7 Conclusion and Future Work -- References -- Big Data: Models and Algorithms -- Design of Algorithms for Big Data Analytics -- 1 Introduction -- 2 Building FCA Lattice -- 2.1 Inefficient Map-Reduce Based Design -- 2.2 Efficient Map-Reduce Based Design -- 3 High Velocity Datasets -- 4 Conclusions -- References -- Mobility Big Data Analysis and Visualization (Invited Talk) -- 1 Introduction -- 2 Public Transportation Data Analysis -- 2.1 Framework for Analyzing Smart Card Data -- 2.2 Visual Fusion Analysis Environment -- 3 Vehicle Recorder Data Analysis -- 3.1 Relationships Between Drivers' Behaviors and Their Past Driving Histories -- 3.2 Visual Exploration of Caution Spots -- 4 Conclusions -- References -- Finding Periodic Patterns in Big Data -- 1 Introduction -- 2 Periodic Pattern Mining in Time Series -- 2.1 The Basic Model of Periodic Patterns -- 2.2 The Limitations of Basic Model -- 2.3 Research Efforts to Address the Limitations -- 3 Periodic Pattern Mining in Transactional Databases. 3.1 The Basic Model of Periodic-Frequent Patterns -- 3.2 The Performance Issues of the Periodic-Frequent Pattern Model -- 3.3 Research Efforts to Address the Performance Issues -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Generation of Periodic-Frequent Patterns -- 4.3 Interesting Patterns Discovered in Accidents Database -- 4.4 Interesting Patterns Discovered in Shop-4 Database -- 5 Conclusions -- References -- VDMR-DBSCAN: Varied Density MapReduce DBSCAN -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Partitioning Phase -- 3.2 Map Phase -- 3.3 Reduce Phase -- 3.4 Merge Phase -- 3.5 Relabeling of Data Points -- 4 Results and Discussions -- 4.1 Experimental Settings -- 4.2 Experimental Results -- 4.3 Clustering Results on Zahn_compound Dataset (DS1) -- 4.4 Clustering Results on Spiral Dataset (DS2) -- 4.5 Large Synthetic Dataset (DS3) -- 5 Conclusions and Future Work -- References -- Concept Discovery from Un-Constrained Distributed Context -- Abstract -- 1 Introduction -- 2 Definitions and Properties in FCA -- 3 Related Work -- 4 Methodology -- 4.1 Data Format and Input -- 4.2 Data Aggregation -- 4.3 Concept Finding Approach -- 4.4 Additional Important Insights -- 5 Implementation Using Spark -- 6 Evaluation and Results -- 7 Discussion -- 7.1 Scalability with Respect to Context -- 7.2 Comparison with Distributed Frequent Item-Set Mining -- 7.3 Concept Explosion -- 7.4 Mining Links Between Concepts -- 8 Conclusion -- Acknowledgments -- References -- Khanan: Performance Comparisonand Programming -Miner Algorithm in Column-Oriented and Relational Database Query Languages -- 1 Research Motivation and Aim -- 2 Related Work and Novel Contributions -- 2.1 Implementation of Mining Algorithms in Row-Oriented Databases -- 2.2 Implementation of Mining Algorithms in Column-Oriented Databases. 2.3 Performance Comparison of Mining Algorithms in Column-Oriented and Graph Databases -- 3 -Miner Algorithm -- 4 Implementation of -Miner Algorithm in SQL on Row-Oriented Database (MySQL) -- 5 Implementation of -Miner Algorithm on NoSQL Column-Oriented Database Cassandra -- 6 Experimental Dataset -- 7 Benchmarking and Performance Comparison -- 8 Conclusion -- References -- A New Proposed Feature Subset Selection Algorithm Based on Maximization of Gain Ratio -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Theoretical Background -- 4 Algorithm and Analysis -- 5 Empirical Study -- 5.1 Datasets -- 5.2 Experimental Results and Comparisons -- 5.3 Dimension Wise Comparison of Feature Selection Algorithms -- 5.4 Domain Wise Comparison of Feature Selection Algorithms -- 6 Conclusion -- References -- Big Data in Medicine -- Genomics 3.0: Big-Data in Precision Medicine -- 1 Introduction -- 2 Genomics 3.0 -- 3 Dimensions of Big-data -- 4 Genomic Big-data -- 4.1 Patient Data -- 4.2 Background Databases -- 5 Exploratory Data Analysis -- 6 Big-data to Information -- 7 Information to Knowledge -- 8 Integrative Systems Biology -- 9 Patient Stratification -- 10 Characteristics and Life of Genomic Big-data -- 11 Mark-up Languages to Represent Biological Data -- 12 The Big-data Genomics Platform iOMICS -- 13 Live Genome Research Case -- 14 Live Genomics and Precision Medicine Case -- References -- CuraEx - Clinical Expert System Using Big-Data for Precision Medicine -- 1 Introduction -- 2 CuraEx Overview -- 3 Patient Specific Information -- 4 Analytical Engine -- 4.1 Cancer Staging -- 4.2 Prognosis -- 4.3 Therapeutics -- 5 Knowledge Database -- 6 Software Stack and Data Management -- 7 Conclusion -- References -- Multi-omics Multi-scale Big Data Analytics for Cancer Genomics -- 1 Introduction -- 2 Available Data -- 2.1 DNA Level Data -- 2.2 RNA Level Data. 2.3 Clinical Data -- 2.4 Background Databases -- 3 Key Aims -- 4 Exploratory Data Analysis -- 4.1 Mutation Association with Cancer State -- 4.2 Differential Gene Expression -- 4.3 Patient Stratification -- 5 Multi-scale Integrative Analysis -- 6 Data Integration and Network Analysis -- 6.1 Functional Characterization Databases -- 6.2 Metabolic Network Reconstruction and Protein Interactions -- 7 Conclusions -- References -- Class Aware Exemplar Discovery from Microarray Gene Expression Data -- Abstract -- 1 Introduction -- 2 Overview of Our Approach -- 2.1 Gene Data -- 2.2 Gene-Gene Similarity -- 2.3 Class Aware Preference -- 2.4 Class Aware Message Passing -- 3 Experimental Evaluation -- 3.1 Description of Experimental Datasets -- 3.2 Comparison of Class Aware Exemplar Discovery with Affinity Propagation -- 3.3 Comparison of Class Aware Exemplar Discovery with Standard Feature Subset Selection Techniques -- 3.4 Comparison of Class Aware Exemplar Discovery with All Features -- 4 Conclusions -- References -- Multistage Classification for Cardiovascular Disease Risk Prediction -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Data Set -- 4 Experiments and Results -- 4.1 Pre-processing -- 4.2 Feature Extraction -- 4.3 Classification -- 5 Conclusion -- Acknowledgement -- References -- Author Index. |
| Record Nr. | UNISA-996466231503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics : 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015, Proceedings / / edited by Naveen Kumar, Vasudha Bhatnagar
| Big Data Analytics : 4th International Conference, BDA 2015, Hyderabad, India, December 15-18, 2015, Proceedings / / edited by Naveen Kumar, Vasudha Bhatnagar |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XII, 267 p. 104 illus. in color.) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Health informatics Database management Information storage and retrieval Algorithms Data Mining and Knowledge Discovery Health Informatics Database Management Information Storage and Retrieval Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-27057-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Big Data: Security and Privacy -- Privacy Protection or Data Value: Can We Have Both? -- 1 Introduction -- 2 Big Data -- 3 Privacy -- 3.1 Individuals Own Data About Themselves -- 3.2 Corporations Own Data Collected -- 3.3 Shared Ownership of Data -- 3.4 Summary -- Ownership -- 4 Privacy Principles -- 5 A Call for a New Approach -- 5.1 User and Corporate Obligations -- 5.2 System Obligations -- 5.3 Data Acquisition Process -- 5.4 Managing Private Queries -- 6 Summary -- References -- Open Source Social Media Analytics for Intelligence and Security Informatics Applications -- 1 Introduction -- 1.1 Online Social Media -- 1.2 Intelligence and Security Informatics -- 2 Technical and Computational Challenges -- 3 Machine Learning and Data Mining Techniques -- 4 Case Studies -- 4.1 Identification of Extremist Content, Users and Communities -- 4.2 Event Forecasting for Civil Unrest Related Events -- 5 Characterization and Classification of Related Work -- 6 ISI Leading Conferences and Journals -- 7 Conclusions -- References -- Big Data in Commerce -- Information Exploration in E-Commerce Databases -- 1 Introduction -- 2 Search Interface in E-Commerce -- 3 Obstacles in Exploratory Search -- 3.1 Limited Feedback in the Query Panel -- 3.2 Low Adaptivity of the Result Panel -- 3.3 Information Loss from Hidden Attributes -- 4 Extensions to Facilitate Exploratory Search -- 4.1 Exploratory Search in Query Panel -- 4.2 Exploratory Search in Result Panel -- 5 Evaluation -- 6 Conclusion -- References -- A Framework to Harvest Page Views of Web for Banner Advertising -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Existing Framework -- 3.2 Proposed Framework -- 4 Design Issues -- 5 Summary and Conclusions -- References -- Utility-Based Control Flow Discovery from Business Process Event Logs.
1 Research Motivation and Aim -- 2 Related Work and Research Contributions -- 3 Research Framework and Solution Approach -- 4 Experimental Analysis and Results -- 4.1 Experimental Dataset -- 4.2 Experimental Results -- 4.3 Airport Dataset Results -- 4.4 BPI 2014 Dataset Results -- 5 Conclusion -- References -- An Efficient Algorithm for Mining High-Utility Itemsets with Discount Notion -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Preliminary -- 3.2 UP-Hist Tree and UP-Hist Algorithm -- 3.3 Utility-List Data Structure and FHM Algorithm -- 3.4 Three-Phase Algorithm for Mining High-Utility Itemsets with Discount Strategies -- 4 Integration of Discount Notion in State-of-the-art Algorithms -- 4.1 UP-Hist Discount Algorithm -- 4.2 FHM Discount Algorithm -- 5 Mining High-Utility Itemsets -- 6 Experiments and Results -- 7 Conclusion and Future Work -- References -- Big Data: Models and Algorithms -- Design of Algorithms for Big Data Analytics -- 1 Introduction -- 2 Building FCA Lattice -- 2.1 Inefficient Map-Reduce Based Design -- 2.2 Efficient Map-Reduce Based Design -- 3 High Velocity Datasets -- 4 Conclusions -- References -- Mobility Big Data Analysis and Visualization (Invited Talk) -- 1 Introduction -- 2 Public Transportation Data Analysis -- 2.1 Framework for Analyzing Smart Card Data -- 2.2 Visual Fusion Analysis Environment -- 3 Vehicle Recorder Data Analysis -- 3.1 Relationships Between Drivers' Behaviors and Their Past Driving Histories -- 3.2 Visual Exploration of Caution Spots -- 4 Conclusions -- References -- Finding Periodic Patterns in Big Data -- 1 Introduction -- 2 Periodic Pattern Mining in Time Series -- 2.1 The Basic Model of Periodic Patterns -- 2.2 The Limitations of Basic Model -- 2.3 Research Efforts to Address the Limitations -- 3 Periodic Pattern Mining in Transactional Databases. 3.1 The Basic Model of Periodic-Frequent Patterns -- 3.2 The Performance Issues of the Periodic-Frequent Pattern Model -- 3.3 Research Efforts to Address the Performance Issues -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Generation of Periodic-Frequent Patterns -- 4.3 Interesting Patterns Discovered in Accidents Database -- 4.4 Interesting Patterns Discovered in Shop-4 Database -- 5 Conclusions -- References -- VDMR-DBSCAN: Varied Density MapReduce DBSCAN -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Partitioning Phase -- 3.2 Map Phase -- 3.3 Reduce Phase -- 3.4 Merge Phase -- 3.5 Relabeling of Data Points -- 4 Results and Discussions -- 4.1 Experimental Settings -- 4.2 Experimental Results -- 4.3 Clustering Results on Zahn_compound Dataset (DS1) -- 4.4 Clustering Results on Spiral Dataset (DS2) -- 4.5 Large Synthetic Dataset (DS3) -- 5 Conclusions and Future Work -- References -- Concept Discovery from Un-Constrained Distributed Context -- Abstract -- 1 Introduction -- 2 Definitions and Properties in FCA -- 3 Related Work -- 4 Methodology -- 4.1 Data Format and Input -- 4.2 Data Aggregation -- 4.3 Concept Finding Approach -- 4.4 Additional Important Insights -- 5 Implementation Using Spark -- 6 Evaluation and Results -- 7 Discussion -- 7.1 Scalability with Respect to Context -- 7.2 Comparison with Distributed Frequent Item-Set Mining -- 7.3 Concept Explosion -- 7.4 Mining Links Between Concepts -- 8 Conclusion -- Acknowledgments -- References -- Khanan: Performance Comparisonand Programming -Miner Algorithm in Column-Oriented and Relational Database Query Languages -- 1 Research Motivation and Aim -- 2 Related Work and Novel Contributions -- 2.1 Implementation of Mining Algorithms in Row-Oriented Databases -- 2.2 Implementation of Mining Algorithms in Column-Oriented Databases. 2.3 Performance Comparison of Mining Algorithms in Column-Oriented and Graph Databases -- 3 -Miner Algorithm -- 4 Implementation of -Miner Algorithm in SQL on Row-Oriented Database (MySQL) -- 5 Implementation of -Miner Algorithm on NoSQL Column-Oriented Database Cassandra -- 6 Experimental Dataset -- 7 Benchmarking and Performance Comparison -- 8 Conclusion -- References -- A New Proposed Feature Subset Selection Algorithm Based on Maximization of Gain Ratio -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Theoretical Background -- 4 Algorithm and Analysis -- 5 Empirical Study -- 5.1 Datasets -- 5.2 Experimental Results and Comparisons -- 5.3 Dimension Wise Comparison of Feature Selection Algorithms -- 5.4 Domain Wise Comparison of Feature Selection Algorithms -- 6 Conclusion -- References -- Big Data in Medicine -- Genomics 3.0: Big-Data in Precision Medicine -- 1 Introduction -- 2 Genomics 3.0 -- 3 Dimensions of Big-data -- 4 Genomic Big-data -- 4.1 Patient Data -- 4.2 Background Databases -- 5 Exploratory Data Analysis -- 6 Big-data to Information -- 7 Information to Knowledge -- 8 Integrative Systems Biology -- 9 Patient Stratification -- 10 Characteristics and Life of Genomic Big-data -- 11 Mark-up Languages to Represent Biological Data -- 12 The Big-data Genomics Platform iOMICS -- 13 Live Genome Research Case -- 14 Live Genomics and Precision Medicine Case -- References -- CuraEx - Clinical Expert System Using Big-Data for Precision Medicine -- 1 Introduction -- 2 CuraEx Overview -- 3 Patient Specific Information -- 4 Analytical Engine -- 4.1 Cancer Staging -- 4.2 Prognosis -- 4.3 Therapeutics -- 5 Knowledge Database -- 6 Software Stack and Data Management -- 7 Conclusion -- References -- Multi-omics Multi-scale Big Data Analytics for Cancer Genomics -- 1 Introduction -- 2 Available Data -- 2.1 DNA Level Data -- 2.2 RNA Level Data. 2.3 Clinical Data -- 2.4 Background Databases -- 3 Key Aims -- 4 Exploratory Data Analysis -- 4.1 Mutation Association with Cancer State -- 4.2 Differential Gene Expression -- 4.3 Patient Stratification -- 5 Multi-scale Integrative Analysis -- 6 Data Integration and Network Analysis -- 6.1 Functional Characterization Databases -- 6.2 Metabolic Network Reconstruction and Protein Interactions -- 7 Conclusions -- References -- Class Aware Exemplar Discovery from Microarray Gene Expression Data -- Abstract -- 1 Introduction -- 2 Overview of Our Approach -- 2.1 Gene Data -- 2.2 Gene-Gene Similarity -- 2.3 Class Aware Preference -- 2.4 Class Aware Message Passing -- 3 Experimental Evaluation -- 3.1 Description of Experimental Datasets -- 3.2 Comparison of Class Aware Exemplar Discovery with Affinity Propagation -- 3.3 Comparison of Class Aware Exemplar Discovery with Standard Feature Subset Selection Techniques -- 3.4 Comparison of Class Aware Exemplar Discovery with All Features -- 4 Conclusions -- References -- Multistage Classification for Cardiovascular Disease Risk Prediction -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Data Set -- 4 Experiments and Results -- 4.1 Pre-processing -- 4.2 Feature Extraction -- 4.3 Classification -- 5 Conclusion -- Acknowledgement -- References -- Author Index. |
| Record Nr. | UNINA-9910484457903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Analytics [[electronic resource] ] : Second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, Proceedings / / edited by Vasudha Bhatnagar, Srinath Srinivasa
| Big Data Analytics [[electronic resource] ] : Second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, Proceedings / / edited by Vasudha Bhatnagar, Srinath Srinivasa |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 197 p. 50 illus.) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Database management Information storage and retrieval Algorithms Data Mining and Knowledge Discovery Database Management Information Storage and Retrieval Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-03689-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mining Social Media Data -- Perspectives on Big Data Analytics -- Graph Analytics -- Big Data in Practice. |
| Record Nr. | UNISA-996465294303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big Data Analytics : Second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, Proceedings / / edited by Vasudha Bhatnagar, Srinath Srinivasa
| Big Data Analytics : Second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, Proceedings / / edited by Vasudha Bhatnagar, Srinath Srinivasa |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 197 p. 50 illus.) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Database management Information storage and retrieval Algorithms Data Mining and Knowledge Discovery Database Management Information Storage and Retrieval Algorithm Analysis and Problem Complexity |
| ISBN | 3-319-03689-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mining Social Media Data -- Perspectives on Big Data Analytics -- Graph Analytics -- Big Data in Practice. |
| Record Nr. | UNINA-9910484767203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data Analytics [[electronic resource] ] : First International Conference, BDA 2012, New Delhi, India, December 24-26, 2012, Proceedings / / edited by Srinath Srinivasa, Vasudha Bhatnagar
| Big Data Analytics [[electronic resource] ] : First International Conference, BDA 2012, New Delhi, India, December 24-26, 2012, Proceedings / / edited by Srinath Srinivasa, Vasudha Bhatnagar |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XIV, 181 p. 83 illus.) |
| Disciplina | 006.3/12 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Application software
Artificial intelligence Database management Information storage and retrieval Data mining Algorithms Information Systems Applications (incl. Internet) Artificial Intelligence Database Management Information Storage and Retrieval Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity |
| ISBN | 3-642-35542-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Perspectives on Big Data Analytics -- Scalable Analytics – Algorithms and Systems -- Big-Data – Theoretical, Engineering and Analytics Perspective -- Data Analytics Applications -- A Comparison of Statistical Machine Learning Methods in Heartbeat Detection and Classification -- Enhanced Query-By-Object Approach for Information Requirement Elicitation in Large Databases -- Cloud Computing and Big Data Analytics: What Is New from Databases Perspective? -- A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education -- Knowledge Discovery through Information Extraction -- Exploiting Schema and Documentation for Summarizing Relational Databases -- Faceted Browsing over Social Media -- Analog Textual Entailment and Spectral Clustering (ATESC) Based Summarization -- Economics of Gold Price Movement-Forecasting Analysis Using Macro-economic, Investor Fear and Investor Behavior Features -- Data Models in Analytics -- An Efficient Method of Building an Ensemble of Classifiers in Streaming Data -- I/O Efficient Algorithms for Block Hessenberg Reduction Using Panel Approach -- Luring Conditions and Their Proof of Necessity through Mathematical Modelling -- Efficient Recommendation for Smart TV Contents -- Materialized View Selection Using Simulated Annealing. |
| Record Nr. | UNISA-996465939903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||