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Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings / / edited by Takashi Washio, Einoshin Suzuki, Kai Ming Ting, Akihiro Inokuchi
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings / / edited by Takashi Washio, Einoshin Suzuki, Kai Ming Ting, Akihiro Inokuchi |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXIV, 1102 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Database management Data mining Information storage and retrieval Mathematical statistics Artificial Intelligence Computer Applications Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Probability and Statistics in Computer Science |
| ISBN | 3-540-68125-6 |
| Classificazione | 54.64 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speech -- Invited Speeches -- Long Papers -- Regular Papers -- Short Papers. |
| Record Nr. | UNISA-996465593303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings / / edited by Takashi Washio, Einoshin Suzuki, Kai Ming Ting, Akihiro Inokuchi
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 12th Pacific-Asia Conference, PAKDD 2008 Osaka, Japan, May 20-23, 2008 Proceedings / / edited by Takashi Washio, Einoshin Suzuki, Kai Ming Ting, Akihiro Inokuchi |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXIV, 1102 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Database management Data mining Information storage and retrieval Mathematical statistics Artificial Intelligence Computer Applications Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Probability and Statistics in Computer Science |
| ISBN | 3-540-68125-6 |
| Classificazione | 54.64 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speech -- Invited Speeches -- Long Papers -- Regular Papers -- Short Papers. |
| Record Nr. | UNINA-9910768437703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining and predictive analysis [[electronic resource] ] : intelligence gathering and crime analysis / / Colleen McCue
| Data mining and predictive analysis [[electronic resource] ] : intelligence gathering and crime analysis / / Colleen McCue |
| Autore | McCue Colleen |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Butterworth-Heinemann, c2007 |
| Descrizione fisica | XXVII, 393 p.; ; 24 cm |
| Disciplina | 363.25/6 |
| Soggetto topico |
Crime analysis
Data mining Law enforcement - Data processing Criminal behavior, Prediction of |
| ISBN |
1-280-63650-5
9786610636501 0-08-046462-9 |
| Classificazione | 54.64 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910784361803321 |
McCue Colleen
|
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| Amsterdam ; ; Boston, : Butterworth-Heinemann, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining and predictive analysis [[electronic resource] ] : intelligence gathering and crime analysis / / Colleen McCue
| Data mining and predictive analysis [[electronic resource] ] : intelligence gathering and crime analysis / / Colleen McCue |
| Autore | McCue Colleen |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Butterworth-Heinemann, c2007 |
| Descrizione fisica | XXVII, 393 p.; ; 24 cm |
| Disciplina | 363.25/6 |
| Soggetto topico |
Crime analysis
Data mining Law enforcement - Data processing Criminal behavior, Prediction of |
| ISBN |
1-280-63650-5
9786610636501 0-08-046462-9 |
| Classificazione | 54.64 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover -- Title page -- Copyright Page -- Table of Contents -- Foreword -- Preface -- Introduction -- How To Use This Book -- Bibliography -- Introductory Section -- 1 Basics -- 1.1 Basic Statistics -- 1.2 Inferential versus Descriptive Statistics and Data Mining -- 1.3 Population versus Samples -- 1.4 Modeling -- 1.5 Errors -- 1.6 Overfitting the Model -- 1.7 Generalizability versus Accuracy -- 1.8 Input/Output -- 1.9 Bibliography -- 2 Domain Expertise -- 2.1 Domain Expertise -- 2.2 Domain Expertise for Analysts -- 2.3 Compromise -- 2.4 Analyze Your Own Data -- 2.5 Bibliography -- 3 Data Mining -- 3.1 Discovery and Prediction -- 3.2 Confirmation and Discovery -- 3.3 Surprise -- 3.4 Characterization -- 3.5 "Volume Challenge" -- 3.6 Exploratory Graphics and Data Exploration -- 3.7 Link Analysis -- 3.8 Nonobvious Relationship Analysis (NORA) -- 3.9 Text Mining -- 3.10 Future Trends -- 3.11 Bibliography -- Methods -- 4 Process Models for Data Mining and Analysis -- 4.1 CIA Intelligence Process -- 4.2 CRISP-DM -- 4.3 Actionable Mining and Predictive Analysis for Public Safety and Security -- 4.4 Bibliography -- 5 Data -- 5.1 Getting Started -- 5.2 Types of Data -- 5.3 Data -- 5.4 Types of Data Resources -- 5.5 Data Challenges -- 5.6 How Do We Overcome These Potential Barriers? -- 5.7 Duplication -- 5.8 Merging Data Resources -- 5.9 Public Health Data -- 5.10 Weather and Crime Data -- 5.11 Bibliography -- 6 Operationally Relevant Preprocessing -- 6.1 Operationally Relevant Recoding -- 6.2 Trinity Sight -- 6.3 Duplication -- 6.4 Data Imputation -- 6.5 Telephone Data -- 6.6 Conference Call Example -- 6.7 Internet Data -- 6.8 Operationally Relevant Variable Selection -- 6.9 Bibliography -- 7 Predictive Analytics -- 7.1 How to Select a Modeling Algorithm, Part I -- 7.2 Generalizability versus Accuracy -- 7.3 Link Analysis.
7.4 Supervised versus Unsupervised Learning Techniques -- 7.5 Discriminant Analysis -- 7.6 Unsupervised Learning Algorithms -- 7.7 Neural Networks -- 7.8 Kohonan Network Models -- 7.9 How to Select a Modeling Algorithm, Part II -- 7.10 Combining Algorithms -- 7.11 Anomaly Detection -- 7.12 Internal Norms -- 7.13 Defining "Normal" -- 7.14 Deviations from Normal Patterns -- 7.15 Deviations from Normal Behavior -- 7.16 Warning! Screening versus Diagnostic -- 7.17 A Perfect World Scenario -- 7.18 Tools of the Trade -- 7.19 General Considerations and Some Expert Options -- 7.20 Variable Entry -- 7.21 Prior Probabilities -- 7.22 Costs -- 7.23 Bibliography -- 8 Public Safety-Specific Evaluation -- 8.1 Outcome Measures -- 8.2 Think Big -- 8.3 Training and Test Samples -- 8.4 Evaluating the Model -- 8.5 Updating or Refreshing the Model -- 8.6 Caveat Emptor -- 8.7 Bibliography -- 9 Operationally Actionable Output -- 9.1 Actionable Output -- Applications -- 10 Normal Crime -- 10.1 Knowing Normal -- 10.2 "Normal" Criminal Behavior -- 10.3 Get to Know "Normal" Crime Trends and Patterns -- 10.4 Staged Crime -- 10.5 Bibliography -- 11 Behavioral Analysis of Violent Crime -- 11.1 Case-Based Reasoning -- 11.2 Homicide -- 11.3 Strategic Characterization -- 11.4 Automated Motive Determination -- 11.5 Drug-Related Violence -- 11.6 Aggravated Assault -- 11.7 Sexual Assault -- 11.8 Victimology -- 11.9 Moving from Investigation to Prevention -- 11.10 Bibliography -- 12 Risk and Threat Assessment -- 12.1 Risk-Based Deployment -- 12.2 Experts versus Expert Systems -- 12.3 "Normal" Crime -- 12.4 Surveillance Detection -- 12.5 Strategic Characterization -- 12.6 Vulnerable Locations -- 12.7 Schools -- 12.8 Data -- 12.9 Accuracy versus Generalizability -- 12.10 "Cost" Analysis -- 12.11 Evaluation -- 12.12 Output -- 12.13 Novel Approaches to Risk and Threat Assessment. 12.14 Bibliography -- Case Examples -- 13 Deployment -- 13.1 Patrol Services -- 13.2 Structuring Patrol Deployment -- 13.3 Data -- 13.4 How To -- 13.5 Tactical Deployment -- 13.6 Risk-Based Deployment Overview -- 13.7 Operationally Actionable Output -- 13.8 Risk-Based Deployment Case Studies -- 13.9 Bibliography -- 14 Surveillance Detection -- 14.1 Surveillance Detection and Other Suspicious Situations -- 14.2 Natural Surveillance -- 14.3 Location, Location, Location -- 14.4 More Complex Surveillance Detection -- 14.5 Internet Surveillance Detection -- 14.6 How To -- 14.7 Summary -- 14.8 Bibliography -- Advanced Concepts and Future Trends -- 15 Advanced Topics -- 15.1 Intrusion Detection -- 15.2 Identify Theft -- 15.3 Syndromic Surveillance -- 15.4 Data Collection, Fusion and Preprocessing -- 15.5 Text Mining -- 15.6 Fraud Detection -- 15.7 Consensus Opinions -- 15.8 Expert Options -- 15.9 Bibliography -- 16 Future Trends -- 16.1 Text Mining -- 16.2 Fusion Centers -- 16.3 "Functional" Interoperability -- 16.4 "Virtual" Warehouses -- 16.5 Domain-Specific Tools -- 16.6 Closing Thoughts -- 16.7 Bibliography -- Index. |
| Record Nr. | UNINA-9910825031203321 |
|
McCue Colleen
|
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| Amsterdam ; ; Boston, : Butterworth-Heinemann, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining in time series databases [[electronic resource] /] / editors, Mark Last, Abraham Kandel, Horst Bunke
| Data mining in time series databases [[electronic resource] /] / editors, Mark Last, Abraham Kandel, Horst Bunke |
| Edizione | [57th ed.] |
| Pubbl/distr/stampa | New Jersey ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (205 p.) |
| Disciplina | 006.33 |
| Altri autori (Persone) |
LastMark
KandelAbraham BunkeHorst |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Data mining
Distributed databases |
| ISBN |
1-281-34776-0
9786611347765 981-256-540-X 1-4237-2302-3 |
| Classificazione | 54.64 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; Chapter 1 Segmenting Time Series: A Survey and Novel Approach E. Keogh, S. Chu, D. Hart and M. Pazzani; Chapter 2 A Survey of Recent Methods for Efficient Retrieval of Similar Time Sequences M. L. Hetland; Chapter 3 Indexing of Compressed Time Series E. Fink and K. B. Pratt; Chapter 4 Indexing Time-Series under Conditions of Noise M. Vlachos, D. Gunopulos and G. Das; Chapter 5 Change Detection in Classification Models Induced from Time Series Data G. Zeira, O. Maimon, M. Last and L. Rokach
Chapter 6 Classification and Detection of Abnormal Events in Time Series of Graphs H. Bunke and M. KraetzlChapter 7 Boosting Interval-Based Literals: Variable Length and Early Classification C. J. Alonso Gonzalez and J. J. Rodriguez Diez; Chapter 8 Median Strings: A Review X. Jiang, H. Bunke and J. Csirik |
| Record Nr. | UNINA-9910783223703321 |
| New Jersey ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining in time series databases [[electronic resource] /] / editors, Mark Last, Abraham Kandel, Horst Bunke
| Data mining in time series databases [[electronic resource] /] / editors, Mark Last, Abraham Kandel, Horst Bunke |
| Edizione | [57th ed.] |
| Pubbl/distr/stampa | New Jersey ; ; London, : World Scientific, c2004 |
| Descrizione fisica | 1 online resource (205 p.) |
| Disciplina | 006.33 |
| Altri autori (Persone) |
LastMark
KandelAbraham BunkeHorst |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Data mining
Distributed databases |
| ISBN |
1-281-34776-0
9786611347765 981-256-540-X 1-4237-2302-3 |
| Classificazione | 54.64 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Contents; Chapter 1 Segmenting Time Series: A Survey and Novel Approach E. Keogh, S. Chu, D. Hart and M. Pazzani; Chapter 2 A Survey of Recent Methods for Efficient Retrieval of Similar Time Sequences M. L. Hetland; Chapter 3 Indexing of Compressed Time Series E. Fink and K. B. Pratt; Chapter 4 Indexing Time-Series under Conditions of Noise M. Vlachos, D. Gunopulos and G. Das; Chapter 5 Change Detection in Classification Models Induced from Time Series Data G. Zeira, O. Maimon, M. Last and L. Rokach
Chapter 6 Classification and Detection of Abnormal Events in Time Series of Graphs H. Bunke and M. KraetzlChapter 7 Boosting Interval-Based Literals: Variable Length and Early Classification C. J. Alonso Gonzalez and J. J. Rodriguez Diez; Chapter 8 Median Strings: A Review X. Jiang, H. Bunke and J. Csirik |
| Record Nr. | UNINA-9910808921203321 |
| New Jersey ; ; London, : World Scientific, c2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database and expert systems applications : 19th international conference, DEXA 2008, Turin, Italy, September 1-5, 2008 ; proceedings / / Sourav S. Bhowmick, Josef Kung, Roland Wagner (editors)
| Database and expert systems applications : 19th international conference, DEXA 2008, Turin, Italy, September 1-5, 2008 ; proceedings / / Sourav S. Bhowmick, Josef Kung, Roland Wagner (editors) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XIX, 853 p.) |
| Disciplina | 005.74 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Database management |
| ISBN | 3-540-85654-4 |
| Classificazione |
54.64
DAT 650f DAT 703f SS 4800 ST 270 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Session 1 -- Session 2A: Semantic Web and Ontologies -- Session 2B: Query Processing -- Session 3: Web and Information Retrieval -- Session 4: Mobile Data and Information -- Session 5: Data and Information Streams -- Session 6: Data Mining Algorithms -- Session 7: Multimedia Databases -- Session 8: Data Mining Systems, Data Warehousing, OLAP -- Session 9: Temporal, Spatial, and High Dimensional Databases II -- Session 10: Data and Information Semantics -- Session 11: XML Databases I -- Session 12: XML Databases II -- Session 13: Query Processing and Optimization -- Session 14A: Data and Information Streams -- Session 14B: Potpourri -- Session 15A: Data Mining -- Session 15B: XML Databases -- Session 16A: Applications of Database, Information, and Decision Support Systems -- Session 16B: Optimization and Performance -- Session 17: Schema, Process and Knowledge Modelling and Evolution. |
| Record Nr. | UNINA-9910483586503321 |
| Berlin ; ; Heidelberg : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Database and expert systems applications : 19th international conference, DEXA 2008, Turin, Italy, September 1-5, 2008 ; proceedings / / Sourav S. Bhowmick, Josef Kung, Roland Wagner (editors)
| Database and expert systems applications : 19th international conference, DEXA 2008, Turin, Italy, September 1-5, 2008 ; proceedings / / Sourav S. Bhowmick, Josef Kung, Roland Wagner (editors) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2008] |
| Descrizione fisica | 1 online resource (XIX, 853 p.) |
| Disciplina | 005.74 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Database management |
| ISBN | 3-540-85654-4 |
| Classificazione |
54.64
DAT 650f DAT 703f SS 4800 ST 270 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talk -- Session 1 -- Session 2A: Semantic Web and Ontologies -- Session 2B: Query Processing -- Session 3: Web and Information Retrieval -- Session 4: Mobile Data and Information -- Session 5: Data and Information Streams -- Session 6: Data Mining Algorithms -- Session 7: Multimedia Databases -- Session 8: Data Mining Systems, Data Warehousing, OLAP -- Session 9: Temporal, Spatial, and High Dimensional Databases II -- Session 10: Data and Information Semantics -- Session 11: XML Databases I -- Session 12: XML Databases II -- Session 13: Query Processing and Optimization -- Session 14A: Data and Information Streams -- Session 14B: Potpourri -- Session 15A: Data Mining -- Session 15B: XML Databases -- Session 16A: Applications of Database, Information, and Decision Support Systems -- Session 16B: Optimization and Performance -- Session 17: Schema, Process and Knowledge Modelling and Evolution. |
| Record Nr. | UNISA-996465806103316 |
| Berlin ; ; Heidelberg : , : Springer, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent data engineering and automated learning : IDEAL 2008 : 9th international conference, Daejeon, South Korea, November 2-5, 2008 : proceedings / / Colin Fyfe [and three others], editors
| Intelligent data engineering and automated learning : IDEAL 2008 : 9th international conference, Daejeon, South Korea, November 2-5, 2008 : proceedings / / Colin Fyfe [and three others], editors |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer Verlag, , [2008] |
| Descrizione fisica | 1 online resource (XVI, 534 p.) |
| Disciplina | 004.071 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Computer science - Research
Algorithms - Study and teaching |
| ISBN | 3-540-88906-X |
| Classificazione | 54.64 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning and Information Processing -- Proposal of Exploitation-Oriented Learning PS-r# -- Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting -- Hybrid Weighted Distance Measures and Their Application to Pattern Recognition -- A Multitask Learning Approach to Face Recognition Based on Neural Networks -- Logic Synthesis for FSMs Using Quantum Inspired Evolution -- A New Adaptive Strategy for Pruning and Adding Hidden Neurons during Training Artificial Neural Networks -- Using Kullback-Leibler Distance in Determining the Classes for the Heart Sound Signal Classification -- A Semi-fragile Watermark Scheme Based on the Logistic Chaos Sequence and Singular Value Decomposition -- Distribution Feeder Load Balancing Using Support Vector Machines -- Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost -- Evolutionary Optimization of Union-Based Rule-Antecedent Fuzzy Neural Networks and Its Applications -- Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention -- Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART -- A Study on Human Gaze Estimation Using Screen Reflection -- A Novel GA-Taguchi-Based Feature Selection Method -- Nonnegative Matrix Factorization (NMF) Based Supervised Feature Selection and Adaptation -- Automatic Order of Data Points in RE Using Neural Networks -- Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds -- Feature Discovery by Enhancement and Relaxation of Competitive Units -- Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification -- A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks -- Semi-supervised Learning with Ensemble Learning and Graph Sharpening -- Exploring Topology Preservation of SOMs with a Graph Based Visualization -- A Class of Novel Kernel Functions -- Data Mining and Information Management -- RP-Tree: A Tree Structure to Discover Regular Patterns in Transactional Database -- Extracting Key Entities and Significant Events from Online Daily News -- Performance Evaluation of Intelligent Prediction Models on Smokers’ Quitting Behaviour -- Range Facial Recognition with the Aid of Eigenface and Morphological Neural Networks -- Modular Bayesian Network Learning for Mobile Life Understanding -- Skin Pores Detection for Image-Based Skin Analysis -- An Empirical Research on Extracting Relations from Wikipedia Text -- A Data Perturbation Method by Field Rotation and Binning by Averages Strategy for Privacy Preservation -- Mining Weighted Frequent Patterns Using Adaptive Weights -- On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model -- Guaranteed Network Traffic Demand Prediction Using FARIMA Models -- A New Incremental Algorithm for Induction of Multivariate Decision Trees for Large Datasets -- The Use of Semi-parametric Methods for Feature Extraction in Mobile Cellular Networks -- Personalized Document Summarization Using Non-negative Semantic Feature and Non-negative Semantic Variable -- Bioinformatics and Neuroinformatics -- Cooperative E-Organizations for Distributed Bioinformatics Experiments -- Personal Knowledge Network Reconfiguration Based on Brain Like Function Using Self Type Matching Strategy -- A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction -- Control of a Wheelchair by Motor Imagery in Real Time -- Robust Vessel Segmentation Based on Multi-resolution Fuzzy Clustering -- Building a Spanish MMTx by Using Automatic Translation and Biomedical Ontologies -- Compensation for Speed-of-Processing Effects in EEG-Data Analysis -- Statistical Baselines from Random Matrix Theory -- Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing -- Agents and Distributed Systems -- Improving the Relational Evaluation of XML Queries by Means of Path Summaries -- Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach -- When Is Inconsistency Considered Harmful: Temporal Characterization of Knowledge Base Inconsistency -- Intelligent Engineering and Its Application in Policy Simulation -- Design of Directory Facilitator for Agent-Based Service Discovery in Ubiquitous Computing Environments -- Financial Engineering and Modeling -- Laboratory of Policy Study on Electricity Demand Forecasting by Intelligent Engineering -- Self-adaptive Mutation Only Genetic Algorithm: An Application on the Optimization of Airport Capacity Utilization -- Cross Checking Rules to Improve Consistency between UML Static Diagram and Dynamic Diagram -- Neural Networks Approach to the Detection of Weekly Seasonality in Stock Trading -- Invited Session -- Bregman Divergences and the Self Organising Map -- Feature Locations in Images -- A Hierarchical Self-organised Classification of ‘Multinational’ Corporations -- An Adaptive Image Watermarking Scheme Using Non-separable Wavelets and Support Vector Regression -- Cluster Analysis of Land-Cover Images Using Automatically Segmented SOMs with Textural Information -- Application of Topology Preserving Ensembles for Sensory Assessment in the Food Industry -- AI for Modelling the Laser Milling of Copper Components -- Country and Political Risk Analysis of Spanish Multinational Enterprises Using Exploratory Projection Pursuit -- Single-Layer Neural Net Competes with Multi-layer Neural Net -- Semi-supervised Growing Neural Gas for Face Recognition. |
| Record Nr. | UNISA-996466352503316 |
| Berlin ; ; Heidelberg : , : Springer Verlag, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent data engineering and automated learning : IDEAL 2008 : 9th international conference, Daejeon, South Korea, November 2-5, 2008 : proceedings / / Colin Fyfe [and three others], editors
| Intelligent data engineering and automated learning : IDEAL 2008 : 9th international conference, Daejeon, South Korea, November 2-5, 2008 : proceedings / / Colin Fyfe [and three others], editors |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer Verlag, , [2008] |
| Descrizione fisica | 1 online resource (XVI, 534 p.) |
| Disciplina | 004.071 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Computer science - Research
Algorithms - Study and teaching |
| ISBN | 3-540-88906-X |
| Classificazione | 54.64 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning and Information Processing -- Proposal of Exploitation-Oriented Learning PS-r# -- Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting -- Hybrid Weighted Distance Measures and Their Application to Pattern Recognition -- A Multitask Learning Approach to Face Recognition Based on Neural Networks -- Logic Synthesis for FSMs Using Quantum Inspired Evolution -- A New Adaptive Strategy for Pruning and Adding Hidden Neurons during Training Artificial Neural Networks -- Using Kullback-Leibler Distance in Determining the Classes for the Heart Sound Signal Classification -- A Semi-fragile Watermark Scheme Based on the Logistic Chaos Sequence and Singular Value Decomposition -- Distribution Feeder Load Balancing Using Support Vector Machines -- Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost -- Evolutionary Optimization of Union-Based Rule-Antecedent Fuzzy Neural Networks and Its Applications -- Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention -- Top-Down Object Color Biased Attention Using Growing Fuzzy Topology ART -- A Study on Human Gaze Estimation Using Screen Reflection -- A Novel GA-Taguchi-Based Feature Selection Method -- Nonnegative Matrix Factorization (NMF) Based Supervised Feature Selection and Adaptation -- Automatic Order of Data Points in RE Using Neural Networks -- Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds -- Feature Discovery by Enhancement and Relaxation of Competitive Units -- Genetic Feature Selection for Optimal Functional Link Artificial Neural Network in Classification -- A Novel Ensemble Approach for Improving Generalization Ability of Neural Networks -- Semi-supervised Learning with Ensemble Learning and Graph Sharpening -- Exploring Topology Preservation of SOMs with a Graph Based Visualization -- A Class of Novel Kernel Functions -- Data Mining and Information Management -- RP-Tree: A Tree Structure to Discover Regular Patterns in Transactional Database -- Extracting Key Entities and Significant Events from Online Daily News -- Performance Evaluation of Intelligent Prediction Models on Smokers’ Quitting Behaviour -- Range Facial Recognition with the Aid of Eigenface and Morphological Neural Networks -- Modular Bayesian Network Learning for Mobile Life Understanding -- Skin Pores Detection for Image-Based Skin Analysis -- An Empirical Research on Extracting Relations from Wikipedia Text -- A Data Perturbation Method by Field Rotation and Binning by Averages Strategy for Privacy Preservation -- Mining Weighted Frequent Patterns Using Adaptive Weights -- On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model -- Guaranteed Network Traffic Demand Prediction Using FARIMA Models -- A New Incremental Algorithm for Induction of Multivariate Decision Trees for Large Datasets -- The Use of Semi-parametric Methods for Feature Extraction in Mobile Cellular Networks -- Personalized Document Summarization Using Non-negative Semantic Feature and Non-negative Semantic Variable -- Bioinformatics and Neuroinformatics -- Cooperative E-Organizations for Distributed Bioinformatics Experiments -- Personal Knowledge Network Reconfiguration Based on Brain Like Function Using Self Type Matching Strategy -- A Theoretical Derivation of the Kernel Extreme Energy Ratio Method for EEG Feature Extraction -- Control of a Wheelchair by Motor Imagery in Real Time -- Robust Vessel Segmentation Based on Multi-resolution Fuzzy Clustering -- Building a Spanish MMTx by Using Automatic Translation and Biomedical Ontologies -- Compensation for Speed-of-Processing Effects in EEG-Data Analysis -- Statistical Baselines from Random Matrix Theory -- Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing -- Agents and Distributed Systems -- Improving the Relational Evaluation of XML Queries by Means of Path Summaries -- Identification of the Inverse Dynamics Model: A Multiple Relevance Vector Machines Approach -- When Is Inconsistency Considered Harmful: Temporal Characterization of Knowledge Base Inconsistency -- Intelligent Engineering and Its Application in Policy Simulation -- Design of Directory Facilitator for Agent-Based Service Discovery in Ubiquitous Computing Environments -- Financial Engineering and Modeling -- Laboratory of Policy Study on Electricity Demand Forecasting by Intelligent Engineering -- Self-adaptive Mutation Only Genetic Algorithm: An Application on the Optimization of Airport Capacity Utilization -- Cross Checking Rules to Improve Consistency between UML Static Diagram and Dynamic Diagram -- Neural Networks Approach to the Detection of Weekly Seasonality in Stock Trading -- Invited Session -- Bregman Divergences and the Self Organising Map -- Feature Locations in Images -- A Hierarchical Self-organised Classification of ‘Multinational’ Corporations -- An Adaptive Image Watermarking Scheme Using Non-separable Wavelets and Support Vector Regression -- Cluster Analysis of Land-Cover Images Using Automatically Segmented SOMs with Textural Information -- Application of Topology Preserving Ensembles for Sensory Assessment in the Food Industry -- AI for Modelling the Laser Milling of Copper Components -- Country and Political Risk Analysis of Spanish Multinational Enterprises Using Exploratory Projection Pursuit -- Single-Layer Neural Net Competes with Multi-layer Neural Net -- Semi-supervised Growing Neural Gas for Face Recognition. |
| Record Nr. | UNINA-9910484322303321 |
| Berlin ; ; Heidelberg : , : Springer Verlag, , [2008] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
