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Advances in intelligent IT [[electronic resource] ] : active media technology 2006 / / edited by Yuefeng Li, Mark Looi, and Ning Zhong
| Advances in intelligent IT [[electronic resource] ] : active media technology 2006 / / edited by Yuefeng Li, Mark Looi, and Ning Zhong |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, D.C., : IOS Press, c2006 |
| Descrizione fisica | 1 online resource (472 p.) |
| Disciplina | 005.4/37 |
| Altri autori (Persone) |
LiYuefeng
LooiMark ZhongNing <1956-> |
| Collana | Frontiers in artificial intelligence and applications |
| Soggetto topico |
Artificial intelligence
Computer graphics Multimedia systems User interfaces (Computer systems) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
6610547610
1-280-54761-8 9786610547616 1-4237-9752-3 1-60750-172-4 600-00-0331-5 1-60129-477-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title page; Preface; Organization; Contents; Keynotes; Active Media Technologies (AMT) from the Standpoint of the Wisdom Web; Anytime Learning and Classification for Online Applications; Domain-Driven Data Mining: Methodologies and Applications; Regular Papers; Web Service Request Transformatter; A Head-Tracker Based on the Lucas-Kanade Optical Flow Algorithm; A Fair Peer Selection Algorithm for an Ecommerce-Oriented Distributed Recommender System; Intelligent Decision Making with the Semantic Web; Relevence Assessment of Topic Ontology; Information Extraction from a Whole Web Site
Developing Grid-Based E-Finance Portals for Intelligent Risk Management and Decision Making Process of Applying Data Mining Techniques to XML Data; Exploiting Semantic Association to Answer 'Vague Queries'; Fault-Tolerate Multiparty Electronic Contract Signing Protocol; Location Based Predictive Handoff Algorithm for Mobile Networks; Designing Peer-to-Peer Agent Auctions Using Object-Process Methodology; Rough Set Model for Constraint-Based Multi-Dimensional Association Rule Mining; Kernel-Based Multi-Imputation for Missing Data; Efficient Frequent Item sets Mining by Sampling Missing or Absent? A Question in Cost-Sensitive Decision TreeKIDS Table: Interactive Tabletop Display Systems; Generating Believable Personality-Rich Story Characters Using Body Languages; Simulated Artificial Human Vision: The Effects of Spatial Resolution and Frame Rate on Mobility; Pattern Mining in Discrete Time Series and Application to Music Mining; Weblog-Based Egocentric Mapping with Track Backs on Spatial Relations; Spatial Labels Sharing and Development Among Photographs Speech Recognition Interface Using Dual Channel Post-Filter Based on Transfer Function Estimation for Noise ReductionGabor Filter Based Efficient Thermal and Visual Face Recognition Using Fusion Architectures; Wrapping Software Agents into Web Services; Intelligent Elevator Control by Application of Computer Vision; Brain Injury Detection and Monitoring Through fMRI Time Series Data Mining; A Framework for Blending Agent Oriented Methodologies; MAHIS-Based Analysis and Design of Petroleum Reservoir Characterisation System; Microarray Analysis for Gene Expression That Involves Trace Metals An Intelligent Process Monitoring System in Complex Manufacturing Environment Location Aware Applications for Smart Cities with Google Maps and GIS Tools; Multi-Media Retrieval with Semantic Web: A Case Study in Airport Security Inspection Applications; Online Feature Compensation Using Modified Quantile Based Noise Estimation for Robust Speech Recognition; Neighbourhood Counting Metric for Sequences; Semi-Supervised Text Classification Using Positive and Unlabeled Data; Deadline Fault Tolerance in a Networked Real-Time System; Fuzzy Logic Based Metric in Software Testing Formulating Agent Interaction for Ontology Evolution |
| Record Nr. | UNINA-9910451033103321 |
| Amsterdam ; ; Washington, D.C., : IOS Press, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in intelligent IT [[electronic resource] ] : active media technology 2006 / / edited by Yuefeng Li, Mark Looi, and Ning Zhong
| Advances in intelligent IT [[electronic resource] ] : active media technology 2006 / / edited by Yuefeng Li, Mark Looi, and Ning Zhong |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, D.C., : IOS Press, c2006 |
| Descrizione fisica | 1 online resource (472 p.) |
| Disciplina | 005.4/37 |
| Altri autori (Persone) |
LiYuefeng
LooiMark ZhongNing <1956-> |
| Collana | Frontiers in artificial intelligence and applications |
| Soggetto topico |
Artificial intelligence
Computer graphics Multimedia systems User interfaces (Computer systems) |
| ISBN |
6610547610
1-280-54761-8 9786610547616 1-4237-9752-3 1-60750-172-4 600-00-0331-5 1-60129-477-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title page; Preface; Organization; Contents; Keynotes; Active Media Technologies (AMT) from the Standpoint of the Wisdom Web; Anytime Learning and Classification for Online Applications; Domain-Driven Data Mining: Methodologies and Applications; Regular Papers; Web Service Request Transformatter; A Head-Tracker Based on the Lucas-Kanade Optical Flow Algorithm; A Fair Peer Selection Algorithm for an Ecommerce-Oriented Distributed Recommender System; Intelligent Decision Making with the Semantic Web; Relevence Assessment of Topic Ontology; Information Extraction from a Whole Web Site
Developing Grid-Based E-Finance Portals for Intelligent Risk Management and Decision Making Process of Applying Data Mining Techniques to XML Data; Exploiting Semantic Association to Answer 'Vague Queries'; Fault-Tolerate Multiparty Electronic Contract Signing Protocol; Location Based Predictive Handoff Algorithm for Mobile Networks; Designing Peer-to-Peer Agent Auctions Using Object-Process Methodology; Rough Set Model for Constraint-Based Multi-Dimensional Association Rule Mining; Kernel-Based Multi-Imputation for Missing Data; Efficient Frequent Item sets Mining by Sampling Missing or Absent? A Question in Cost-Sensitive Decision TreeKIDS Table: Interactive Tabletop Display Systems; Generating Believable Personality-Rich Story Characters Using Body Languages; Simulated Artificial Human Vision: The Effects of Spatial Resolution and Frame Rate on Mobility; Pattern Mining in Discrete Time Series and Application to Music Mining; Weblog-Based Egocentric Mapping with Track Backs on Spatial Relations; Spatial Labels Sharing and Development Among Photographs Speech Recognition Interface Using Dual Channel Post-Filter Based on Transfer Function Estimation for Noise ReductionGabor Filter Based Efficient Thermal and Visual Face Recognition Using Fusion Architectures; Wrapping Software Agents into Web Services; Intelligent Elevator Control by Application of Computer Vision; Brain Injury Detection and Monitoring Through fMRI Time Series Data Mining; A Framework for Blending Agent Oriented Methodologies; MAHIS-Based Analysis and Design of Petroleum Reservoir Characterisation System; Microarray Analysis for Gene Expression That Involves Trace Metals An Intelligent Process Monitoring System in Complex Manufacturing Environment Location Aware Applications for Smart Cities with Google Maps and GIS Tools; Multi-Media Retrieval with Semantic Web: A Case Study in Airport Security Inspection Applications; Online Feature Compensation Using Modified Quantile Based Noise Estimation for Robust Speech Recognition; Neighbourhood Counting Metric for Sequences; Semi-Supervised Text Classification Using Positive and Unlabeled Data; Deadline Fault Tolerance in a Networked Real-Time System; Fuzzy Logic Based Metric in Software Testing Formulating Agent Interaction for Ontology Evolution |
| Record Nr. | UNINA-9910784250203321 |
| Amsterdam ; ; Washington, D.C., : IOS Press, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Brain informatics : International Conference, BI 2009 Beijing, China, October 22-24, 2009 proceedings / / Ning Zhong ... [et al.] (eds.)
| Brain informatics : International Conference, BI 2009 Beijing, China, October 22-24, 2009 proceedings / / Ning Zhong ... [et al.] (eds.) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York, : Springer, 2009 |
| Descrizione fisica | 1 online resource (XIII, 237 p.) |
| Disciplina | 004n/a |
| Altri autori (Persone) | ZhongNing <1956-> |
| Collana | Lecture notes in computer science. Lecture notes in artificial intelligence |
| Soggetto topico |
Brain-computer interfaces
Mental efficiency |
| ISBN | 3-642-04954-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Talks -- Using Neural Imaging to Inform the Instruction of Mathematics -- Distributed Human-Machine Systems: Progress and Prospects -- Large Scale Reasoning on the Semantic Web: What to Do When Success Is Becoming a Problem -- How Midazolam Can Help Us Understand Human Memory: 3 Illustrations and a Proposal for a New Methodology -- Research on Brain-Like Computer -- A Framework for Machine Learning with Ambiguous Objects -- Special Session on Information Processing Meets Brain Sciences -- Data Compression and Data Selection in Human Vision -- Do Brain Networks Correlate with Intelligence? -- How Were Intelligence and Language Created in Human Brain -- Affective Learning with an EEG Approach -- Some Web Intelligence Oriented Brain Informatics Studies -- Thinking and Perception-centric Investigations of Human Information Processing Systems -- Modelling the Reciprocal Interaction between Believing and Feeling from a Neurological Perspective -- Information Hypothesis: On Human Information Capability Study -- Correlated Size Variations Measured in Human Visual Cortex V1/V2/V3 with Functional MRI -- Effects of Attention on Dynamic Emotional Expressions Processing -- Simulating Human Heuristic Problem Solving: A Study by Combining ACT-R and fMRI Brain Image -- EEG/ERP Meets ACT-R: A Case Study for Investigating Human Computation Mechanism -- Evaluation of Probabilities and Brain Activity - An EEG-Study -- Human Factors Affecting Decision in Virtual Operator Reasoning -- The Effect of Information Forms and Floating Advertisements for Visual Search on Web Pages: An Eye-Tracking Study -- Figural Effects in Syllogistic Reasoning with Evaluation Paradigm: An Eye-Movement Study -- Structured Prior Knowledge and Granular Structures -- Multisensory Interaction of Audiovisual Stimuli on the Central and Peripheral Spatial Locations: A Behavioral Study -- A Functional Model of Limbic System of Brain -- Information Technologies for the Management and Use of Brain Data -- Data Explosion, Data Nature and Dataology -- Reading What Machines “Think” -- Using SVM to Predict High-Level Cognition from fMRI Data: A Case Study of 4*4 Sudoku Solving -- Data-Brain Modeling for Systematic Brain Informatics -- Cognition-inspired Applications -- Combine the Objective Features with the Subjective Feelings in Personal Multi-alternative Decision Making Modeling -- Automatic and Semi-automatic Approaches for Selecting Prominent Spatial Filters of CSP in BCI Applications -- Boosting Concept Discovery in Collective Intelligences -- Segmentation of Heart Image Sequences Based on Human Way of Recognition. |
| Record Nr. | UNINA-9910484379303321 |
| New York, : Springer, 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Functional brain mapping : methods and aims / / Vassiliy Tstytsarev, Vicky Yamamoto, Ning Zhong, editors
| Functional brain mapping : methods and aims / / Vassiliy Tstytsarev, Vicky Yamamoto, Ning Zhong, editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XII, 201 p. 62 illus., 53 illus. in color.) |
| Disciplina | 612.82 |
| Collana | Brain Informatics and Health |
| Soggetto topico |
Brain mapping
Brain - Imaging Brain - Localization of functions |
| ISBN | 981-15-6883-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465371303316 |
| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Functional brain mapping : methods and aims / / Vassiliy Tstytsarev, Vicky Yamamoto, Ning Zhong, editors
| Functional brain mapping : methods and aims / / Vassiliy Tstytsarev, Vicky Yamamoto, Ning Zhong, editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XII, 201 p. 62 illus., 53 illus. in color.) |
| Disciplina | 612.82 |
| Collana | Brain Informatics and Health |
| Soggetto topico |
Brain mapping
Brain - Imaging Brain - Localization of functions |
| ISBN | 981-15-6883-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910427717903321 |
| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
IEEE/WIC/ACM International Conference on Intelligent Agent Technology : proceedings : (IAT 2004) : Beijing, China, September 20-24, 2004
| IEEE/WIC/ACM International Conference on Intelligent Agent Technology : proceedings : (IAT 2004) : Beijing, China, September 20-24, 2004 |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2004 |
| Disciplina | 006.3 |
| Soggetto topico |
Intelligent agents (Computer software)
Artificial intelligence Engineering & Applied Sciences Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996214934703316 |
| [Place of publication not identified], : IEEE Computer Society, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
IEEE/WIC/ACM International Conference on Intelligent Agent Technology : proceedings : (IAT 2004) : Beijing, China, September 20-24, 2004
| IEEE/WIC/ACM International Conference on Intelligent Agent Technology : proceedings : (IAT 2004) : Beijing, China, September 20-24, 2004 |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE Computer Society, 2004 |
| Disciplina | 006.3 |
| Soggetto topico |
Intelligent agents (Computer software)
Artificial intelligence Engineering & Applied Sciences Computer Science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910872501703321 |
| [Place of publication not identified], : IEEE Computer Society, 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999 : proceedings / / Ning Zhong, Lizhi Zhou, eds
| Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999 : proceedings / / Ning Zhong, Lizhi Zhou, eds |
| Edizione | [1st ed. 1999.] |
| Pubbl/distr/stampa | Berlin, Germany : , : Springer, , [1999] |
| Descrizione fisica | 1 online resource (XVI, 540 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Database management
Data mining Database searching |
| ISBN | 3-540-48912-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- KDD as an Enterprise IT Tool: Reality and Agenda -- Computer Assisted Discovery of First Principle Equations from Numeric Data -- Emerging KDD Technology -- Data Mining — a Rough Set Perspective -- Data Mining Techniques for Associations, Clustering and Classification -- Data Mining: Granular Computing Approach -- Rule Extraction from Prediction Models -- Association Rules -- Mining Association Rules on Related Numeric Attributes -- LGen — A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining -- Extending the Applicability of Association Rules -- An Efficient Approach for Incremental Association Rule Mining -- Association Rules in Incomplete Databases -- Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation -- H-Rule Mining in Heterogeneous Databases -- An Improved Definition of Multidimensional Inter-transaction Association Rule -- Incremental Discovering Association Rules: A Concept Lattice Approach -- Feature Selection and Generation -- Induction as Pre-processing -- Stochastic Attribute Selection Committees with Multiple Boosting: Learning More Accurate and More Stable Classifier Committees -- On Information-Theoretic Measures of Attribute Importance -- A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information -- A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree -- Mining in Semi, Un-structured Data -- An Algorithm for Constrained Association Rule Mining in Semi-structured Data -- Incremental Mining of Schema for Semistructured Data -- Discovering Structure from Document Databases -- Combining Forecasts from Multiple Textual Data Sources -- Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql -- Interestingness, Surprisingness, and Exceptions -- Evolutionary Hot Spots Data Mining -- Efficient Search of Reliable Exceptions -- Heuristics for Ranking the Interestingness of Discovered Knowledge -- Rough Sets, Fuzzy Logic, and Neural Networks -- Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion -- Discernibility System in Rough Sets -- Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets -- Neural Network Based Classifiers for a Vast Amount of Data -- Accuracy Tuning on Combinatorial Neural Model -- A Situated Information Articulation Neural Network: VSF Network -- Neural Method for Detection of Complex Patterns in Databases -- Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment -- An Induction Algorithm Based on Fuzzy Logic Programming -- Rule Discovery in Databases with Missing Values Based on Rough Set Model -- Sustainability Knowledge Mining from Human Development Database -- Induction, Classification, and Clustering -- Characterization of Default Knowledge in Ripple Down Rules Method -- Improving the Performance of Boosting for Naive Bayesian Classification -- Convex Hulls in Concept Induction -- Mining Classification Knowledge Based on Cloud Models -- Robust Clusterin of Large Geo-referenced Data Sets -- A Fast Algorithm for Density-Based Clustering in Large Database -- A Lazy Model-Based Algorithm for On-Line Classification -- An Efficient Space-Partitioning Based Algorithm for the K-Means Clustering -- A Fast Clustering Process for Outliers and Remainder Clusters -- Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem -- Classifying Unseen Cases with Many Missing Values -- Study of a Mixed Similarity Measure for Classification and Clustering -- Visualization -- Visually Aided Exploration of Interesting Association Rules -- DVIZ: A System for Visualizing Data Mining -- Causal Model and Graph-Based Methods -- A Minimal Causal Model Learner -- Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases -- Basket Analysis for Graph Structured Data -- The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors -- KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System -- Agent-Based, and Distributed Data Mining -- Probing Knowledge in Distributed Data Mining -- Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases -- The Data-Mining and the Technology of Agents to Fight the Illicit Electronic Messages -- Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web -- Event Mining with Event Processing Networks -- Advanced Topics and New Methodologies -- An Analysis of Quantitative Measures Associated with Rules -- A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery -- Discovering Conceptual Differences among Different People via Diverse Structures -- Ordered Estimation of Missing Values -- Prediction Rule Discovery Based on Dynamic Bias Selection -- Discretization of Continuous Attributes for Learning Classification Rules -- BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases -- Mining Functional Dependency Rule of Relational Database -- Time-Series Prediction with Cloud Models in DMKD. |
| Record Nr. | UNINA-9910143467503321 |
| Berlin, Germany : , : Springer, , [1999] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999 : proceedings / / Ning Zhong, Lizhi Zhou, eds
| Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD-99, Beijing, China, April 26-28, 1999 : proceedings / / Ning Zhong, Lizhi Zhou, eds |
| Edizione | [1st ed. 1999.] |
| Pubbl/distr/stampa | Berlin, Germany : , : Springer, , [1999] |
| Descrizione fisica | 1 online resource (XVI, 540 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Database management
Data mining Database searching |
| ISBN | 3-540-48912-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- KDD as an Enterprise IT Tool: Reality and Agenda -- Computer Assisted Discovery of First Principle Equations from Numeric Data -- Emerging KDD Technology -- Data Mining — a Rough Set Perspective -- Data Mining Techniques for Associations, Clustering and Classification -- Data Mining: Granular Computing Approach -- Rule Extraction from Prediction Models -- Association Rules -- Mining Association Rules on Related Numeric Attributes -- LGen — A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining -- Extending the Applicability of Association Rules -- An Efficient Approach for Incremental Association Rule Mining -- Association Rules in Incomplete Databases -- Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation -- H-Rule Mining in Heterogeneous Databases -- An Improved Definition of Multidimensional Inter-transaction Association Rule -- Incremental Discovering Association Rules: A Concept Lattice Approach -- Feature Selection and Generation -- Induction as Pre-processing -- Stochastic Attribute Selection Committees with Multiple Boosting: Learning More Accurate and More Stable Classifier Committees -- On Information-Theoretic Measures of Attribute Importance -- A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information -- A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree -- Mining in Semi, Un-structured Data -- An Algorithm for Constrained Association Rule Mining in Semi-structured Data -- Incremental Mining of Schema for Semistructured Data -- Discovering Structure from Document Databases -- Combining Forecasts from Multiple Textual Data Sources -- Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql -- Interestingness, Surprisingness, and Exceptions -- Evolutionary Hot Spots Data Mining -- Efficient Search of Reliable Exceptions -- Heuristics for Ranking the Interestingness of Discovered Knowledge -- Rough Sets, Fuzzy Logic, and Neural Networks -- Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion -- Discernibility System in Rough Sets -- Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets -- Neural Network Based Classifiers for a Vast Amount of Data -- Accuracy Tuning on Combinatorial Neural Model -- A Situated Information Articulation Neural Network: VSF Network -- Neural Method for Detection of Complex Patterns in Databases -- Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment -- An Induction Algorithm Based on Fuzzy Logic Programming -- Rule Discovery in Databases with Missing Values Based on Rough Set Model -- Sustainability Knowledge Mining from Human Development Database -- Induction, Classification, and Clustering -- Characterization of Default Knowledge in Ripple Down Rules Method -- Improving the Performance of Boosting for Naive Bayesian Classification -- Convex Hulls in Concept Induction -- Mining Classification Knowledge Based on Cloud Models -- Robust Clusterin of Large Geo-referenced Data Sets -- A Fast Algorithm for Density-Based Clustering in Large Database -- A Lazy Model-Based Algorithm for On-Line Classification -- An Efficient Space-Partitioning Based Algorithm for the K-Means Clustering -- A Fast Clustering Process for Outliers and Remainder Clusters -- Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem -- Classifying Unseen Cases with Many Missing Values -- Study of a Mixed Similarity Measure for Classification and Clustering -- Visualization -- Visually Aided Exploration of Interesting Association Rules -- DVIZ: A System for Visualizing Data Mining -- Causal Model and Graph-Based Methods -- A Minimal Causal Model Learner -- Efficient Graph-Based Algorithm for Discovering and Maintaining Knowledge in Large Databases -- Basket Analysis for Graph Structured Data -- The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors -- KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System -- Agent-Based, and Distributed Data Mining -- Probing Knowledge in Distributed Data Mining -- Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases -- The Data-Mining and the Technology of Agents to Fight the Illicit Electronic Messages -- Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web -- Event Mining with Event Processing Networks -- Advanced Topics and New Methodologies -- An Analysis of Quantitative Measures Associated with Rules -- A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery -- Discovering Conceptual Differences among Different People via Diverse Structures -- Ordered Estimation of Missing Values -- Prediction Rule Discovery Based on Dynamic Bias Selection -- Discretization of Continuous Attributes for Learning Classification Rules -- BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases -- Mining Functional Dependency Rule of Relational Database -- Time-Series Prediction with Cloud Models in DMKD. |
| Record Nr. | UNISA-996465496903316 |
| Berlin, Germany : , : Springer, , [1999] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
New directions in rough sets, data mining, and granular-soft computing / / Ning Zhong, Andrzej Skowron, Setsuo Ohsuga (editors)
| New directions in rough sets, data mining, and granular-soft computing / / Ning Zhong, Andrzej Skowron, Setsuo Ohsuga (editors) |
| Edizione | [1st ed. 1999.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [1999] |
| Descrizione fisica | 1 online resource (XIV, 566 p.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico | Computer science |
| ISBN | 3-540-48061-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Talks -- Decision Rules, Bayes’ Rule and Rough Sets -- A New Direction in System Analysis: From Computation with Measurements to Computation with Perceptions -- On Text Mining Techniques for Personalization -- A Road to Discovery Science -- Rough Computing: Foundations and Applications -- Calculi of Granules Based on Rough Set Theory: Approximate Distributed Synthesis and Granular Semantics for Computing with Words -- Discovery of Rules about Complications -- Rough Genetic Algorithms -- Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach -- Rough Set Theory and Its Applications -- Toward Spatial Reasoning in the Framework of Rough Mereology -- An Algorithm for Finding Equivalence Relations from Tables with Non-deterministic Information -- On the Extension of Rough Sets under Incomplete Information -- On Rough Relations: An Alternative Formulation -- Formal Rough Concept Analysis -- Noise Reduction in Telecommunication Channels Using Rough Sets and Neural Networks -- Rough Set Analysis of Electrostimulation Test Database for the Prediction of Post-Operative Profits in Cochlear Implanted Patients -- A Rough Set-Based Approach to Text Classification -- Modular Rough Fuzzy MLP: Evolutionary Design -- Approximate Reducts and Association Rules -- Handling Missing Values in Rough Set Analysis of Multi-attribute and Multi-criteria Decision Problems -- The Generic Rough Set Inductive Logic Programming Model and Motifs in Strings -- Rough Problem Settings for Inductive Logic Programming -- Using Rough Sets with Heuristics for Feature Selection -- The Discretization of Continuous Attributes Based on Compatibility Rough Set and Genetic Algorithm -- Fuzzy Set Theory and Its Applications -- Level Cut Conditioning Approach to the Necessity Measure Specification -- Four c-Regression Methods and Classification Functions -- Context-Free Fuzzy Sets in Data Mining Context -- Applying Fuzzy Hypothesis Testing to Medical Data -- Generating a Macroeconomic Fuzzy Forecasting System Using Evolutionary Search -- Fuzzy Control of Nonlinear Systems Using Nonlinearized Parameterization -- Control of Chaotic Systems Using Fuzzy Model-Based Regulators -- Fuzzy Behavior-Based Control for the Obstacle Avoidance of Multi-link Manipulators -- Fuzzy Future Value and Annual Cash Flow Analyses -- Semi-linear Equation with Fuzzy Parameters -- Non-classical Logic and Approximate Reasoning -- First Order Rough Logic-Revisited -- A Generalized Decision Logic in Interval-Set-Valued Information Tables -- Many-Valued Dynamic Logic for Qualitative Decision Theory -- Incorporating Fuzzy Set Theory and Matrix Logic in Multi-layer Logic -- Fuzzy Logic as Interfacing Media for Constraint Propagation Based on Theories of Chu Space and Information Flow -- Pattern Reasoning: A New Solution for Knowledge Acquisition Problem -- Probabilistic Inference and Bayesian Theorem Based on Logical Implication -- Reasoning with Neural Logic Networks -- The Resolution for Rough Propositional Logic with Lower (L) and Upper (H) Approximate Operators -- Information Granulation and Granular Computing -- Information Granules in Distributed Environment -- Evolving Granules for Classification for Discovering Difference in the Usage of Words -- Interval Evaluation by AHP with Rough Set Concept -- Interval Density Functions in Conflict Analysis -- Incorporating Personal Database Unification by Granular Computing -- Data Mining and Knowledge Discovery -- Knowledge-Driven Discovery of Operational Definitions -- A Closest Fit Approach to Missing Attribute Values in Preterm Birth Data -- Visualizing Discovered Rule Sets with Visual Graphs Based on Compressed Entropy Density -- A Distance-Based Clustering and Selection of Association Rules on Numeric Attributes -- Knowledge Discovery for Protein Tertiary Substructures -- Integrating Classification and Association Rule Mining: A Concept Lattice Framework -- Using Rough Genetic and Kohonen’s Neural Network for Conceptual Cluster Discovery in Data Mining -- Towards Automated Optimal Equity Portfolios Discovery in a Knowledge Sharing Financial Data Warehouse -- Rule-Evolver: An Evolutionary Approach for Data Mining -- Machine Learning -- Decision Making with Probabilistic Decision Tables -- The Iterated Version Space Learning -- An Empirical Study on Rule Quality Measures -- Rules as Attributes in Classifier Construction -- An Algorithm to Find the Optimized Network Structure in an Incremental Learning -- Patterns in Numerical Data: Practical Approximations to Kolmogorov Complexity -- Performance Prediction for Classification Systems -- Intelligent Agents and Systems -- Flexible Optimization and Evolution of Underwater Autonomous Agents -- Ontology-Based Multi-agent Model of an Information Security System -- Optimal Multi-scale Time Series Decomposition for Financial Forecasting Using Wavelet Thresholding Techniques -- Computerized Spelling Recognition of Words Expressed in the Sound Approach -- An Adaptive Handwriting Recognition System. |
| Record Nr. | UNINA-9910143645503321 |
| Berlin ; ; Heidelberg : , : Springer, , [1999] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
