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Advances in Intelligent Data Analysis VI [[electronic resource] ] : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings / / edited by A. Fazel Famili, Joost N. Kok, José M. Pena, Arno Siebes, Ad Feelders
| Advances in Intelligent Data Analysis VI [[electronic resource] ] : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings / / edited by A. Fazel Famili, Joost N. Kok, José M. Pena, Arno Siebes, Ad Feelders |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XIV, 534 p.) |
| Disciplina | 006.3/3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Artificial intelligence
Information storage and retrieval Mathematical statistics Pattern recognition Information technology Business—Data processing Artificial Intelligence Information Storage and Retrieval Probability and Statistics in Computer Science Pattern Recognition IT in Business |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Probabilistic Latent Clustering of Device Usage -- Condensed Nearest Neighbor Data Domain Description -- Balancing Strategies and Class Overlapping -- Modeling Conditional Distributions of Continuous Variables in Bayesian Networks -- Kernel K-Means for Categorical Data -- Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction -- A Distance-Based Method for Preference Information Retrieval in Paired Comparisons -- Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage -- Searching for Meaningful Feature Interactions with Backward-Chaining Rule Induction -- Exploring Hierarchical Rule Systems in Parallel Coordinates -- Bayesian Networks Learning for Gene Expression Datasets -- Pulse: Mining Customer Opinions from Free Text -- Keystroke Analysis of Different Languages: A Case Study -- Combining Bayesian Networks with Higher-Order Data Representations -- Removing Statistical Biases in Unsupervised Sequence Learning -- Learning from Ambiguously Labeled Examples -- Learning Label Preferences: Ranking Error Versus Position Error -- FCLib: A Library for Building Data Analysis and Data Discovery Tools -- A Knowledge-Based Model for Analyzing GSM Network Performance -- Sentiment Classification Using Information Extraction Technique -- Extending the SOM Algorithm to Visualize Word Relationships -- Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization -- Block Clustering of Contingency Table and Mixture Model -- Adaptive Classifier Combination for Visual Information Processing Using Data Context-Awareness -- Self-poised Ensemble Learning -- Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches -- From Local Pattern Mining to Relevant Bi-cluster Characterization -- Machine-Learning with Cellular Automata -- MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data -- Miner Ants Colony: A New Approach to Solve a Mine Planning Problem -- Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs -- Spatial Approach to Pose Variations in Face Verification -- Analysis of Feature Rankings for Classification -- A Mixture Model-Based On-line CEM Algorithm -- Reliable Hierarchical Clustering with the Self-organizing Map -- Statistical Recognition of Noun Phrases in Unrestricted Text -- Successive Restrictions Algorithm in Bayesian Networks -- Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia -- Biological Cluster Validity Indices Based on the Gene Ontology -- An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering -- Dealing with Data Corruption in Remote Sensing -- Regularized Least-Squares for Parse Ranking -- Bayesian Network Classifiers for Time-Series Microarray Data -- Feature Discovery in Classification Problems -- A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization -- Detecting Groups of Anomalously Similar Objects in Large Data Sets. |
| Record Nr. | UNISA-996465436103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis VI [[electronic resource] ] : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings / / edited by A. Fazel Famili, Joost N. Kok, José M. Pena, Arno Siebes, Ad Feelders
| Advances in Intelligent Data Analysis VI [[electronic resource] ] : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings / / edited by A. Fazel Famili, Joost N. Kok, José M. Pena, Arno Siebes, Ad Feelders |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XIV, 534 p.) |
| Disciplina | 006.3/3 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Artificial intelligence
Information storage and retrieval Mathematical statistics Pattern recognition Information technology Business—Data processing Artificial Intelligence Information Storage and Retrieval Probability and Statistics in Computer Science Pattern Recognition IT in Business |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Probabilistic Latent Clustering of Device Usage -- Condensed Nearest Neighbor Data Domain Description -- Balancing Strategies and Class Overlapping -- Modeling Conditional Distributions of Continuous Variables in Bayesian Networks -- Kernel K-Means for Categorical Data -- Using Genetic Algorithms to Improve Accuracy of Economical Indexes Prediction -- A Distance-Based Method for Preference Information Retrieval in Paired Comparisons -- Knowledge Discovery in the Identification of Differentially Expressed Genes in Tumoricidal Macrophage -- Searching for Meaningful Feature Interactions with Backward-Chaining Rule Induction -- Exploring Hierarchical Rule Systems in Parallel Coordinates -- Bayesian Networks Learning for Gene Expression Datasets -- Pulse: Mining Customer Opinions from Free Text -- Keystroke Analysis of Different Languages: A Case Study -- Combining Bayesian Networks with Higher-Order Data Representations -- Removing Statistical Biases in Unsupervised Sequence Learning -- Learning from Ambiguously Labeled Examples -- Learning Label Preferences: Ranking Error Versus Position Error -- FCLib: A Library for Building Data Analysis and Data Discovery Tools -- A Knowledge-Based Model for Analyzing GSM Network Performance -- Sentiment Classification Using Information Extraction Technique -- Extending the SOM Algorithm to Visualize Word Relationships -- Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization -- Block Clustering of Contingency Table and Mixture Model -- Adaptive Classifier Combination for Visual Information Processing Using Data Context-Awareness -- Self-poised Ensemble Learning -- Discriminative Remote Homology Detection Using Maximal Unique Sequence Matches -- From Local Pattern Mining to Relevant Bi-cluster Characterization -- Machine-Learning with Cellular Automata -- MDS polar : A New Approach for Dimension Reduction to Visualize High Dimensional Data -- Miner Ants Colony: A New Approach to Solve a Mine Planning Problem -- Extending the GA-EDA Hybrid Algorithm to Study Diversification and Intensification in GAs and EDAs -- Spatial Approach to Pose Variations in Face Verification -- Analysis of Feature Rankings for Classification -- A Mixture Model-Based On-line CEM Algorithm -- Reliable Hierarchical Clustering with the Self-organizing Map -- Statistical Recognition of Noun Phrases in Unrestricted Text -- Successive Restrictions Algorithm in Bayesian Networks -- Modelling the Relationship Between Streamflow and Electrical Conductivity in Hollin Creek, Southeastern Australia -- Biological Cluster Validity Indices Based on the Gene Ontology -- An Evaluation of Filter and Wrapper Methods for Feature Selection in Categorical Clustering -- Dealing with Data Corruption in Remote Sensing -- Regularized Least-Squares for Parse Ranking -- Bayesian Network Classifiers for Time-Series Microarray Data -- Feature Discovery in Classification Problems -- A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization -- Detecting Groups of Anomalously Similar Objects in Large Data Sets. |
| Record Nr. | UNINA-9910483204003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut
| Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XIII, 418 p.) |
| Disciplina | 006.31222gerDNB |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Computers
Information storage and retrieval Data mining Pattern recognition Data structures (Computer science) Information technology Business—Data processing Theory of Computation Information Storage and Retrieval Data Mining and Knowledge Discovery Pattern Recognition Data Structures IT in Business |
| Soggetto genere / forma |
Kongress.
Lyon (2008) |
| ISBN | 3-642-03915-4 |
| Classificazione |
DAT 703f
MAT 620f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees. |
| Record Nr. | UNISA-996465760203316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut
| Advances in Intelligent Data Analysis VIII [[electronic resource] ] : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings / / edited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (XIII, 418 p.) |
| Disciplina | 006.31222gerDNB |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Computers
Information storage and retrieval Data mining Pattern recognition Data structures (Computer science) Information technology Business—Data processing Theory of Computation Information Storage and Retrieval Data Mining and Knowledge Discovery Pattern Recognition Data Structures IT in Business |
| Soggetto genere / forma |
Kongress.
Lyon (2008) |
| ISBN | 3-642-03915-4 |
| Classificazione |
DAT 703f
MAT 620f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees. |
| Record Nr. | UNINA-9910483134103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Intelligent Process-Aware Information Systems [[electronic resource] ] : Concepts, Methods, and Technologies / / edited by Gregor Grambow, Roy Oberhauser, Manfred Reichert
| Advances in Intelligent Process-Aware Information Systems [[electronic resource] ] : Concepts, Methods, and Technologies / / edited by Gregor Grambow, Roy Oberhauser, Manfred Reichert |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XI, 249 p. 99 illus.) |
| Disciplina | 658.4038011 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Computational intelligence
Artificial intelligence Information technology Business—Data processing Computational Intelligence Artificial Intelligence IT in Business |
| ISBN | 3-319-52181-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On the Fundamentals of Intelligent Process-Aware Information Systems -- Adaptive Process Management in Cyber-Physical Domains -- Towards Executable Specifications for Case Management Processes -- Towards Autonomically-Capable Processes -- Process-oriented Information Logistics: Requirements, Techniques, Application -- A Predictive Approach Enabling Process Execution Recommendations -- Reasoning about Process Models: What Description Logic Offers to Business Process Model Analysis -- Improving Process Portability through Metrics and Continuous Inspection -- Business Process Intelligence Tools. |
| Record Nr. | UNINA-9910254325803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Intelligent Systems and Computing [[electronic resource] ] : Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine / / edited by Natalya Shakhovska
| Advances in Intelligent Systems and Computing [[electronic resource] ] : Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine / / edited by Natalya Shakhovska |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VII, 325 p. 111 illus., 47 illus. in color.) |
| Disciplina | 004 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Data mining Electrical engineering Information technology Business—Data processing Artificial intelligence Computational Intelligence Data Mining and Knowledge Discovery Communications Engineering, Networks IT in Business Artificial Intelligence |
| ISBN | 3-319-45991-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Improved Particle Swarm Optimization Algorithm with Repair Procedure.-Fuzzy Evaluation Method for Project Profitability -- New approach for Saving Semistructured Medical Data -- Architecture and Conceptual Bases of Cloud IT Infrastructure Managemen -- Generation of the Association Rules Among Multidi-mensional Data in DBMS Caché Environment -- Threat Assesment Method For Intelligent Disaster Decision Support SysteM -- Mobile Activation Learning System Using Gamification Approach -- University’s Information Image as a Result of University Web Communities’ Activities -- Multi-Modular Optimum Coding Systems Based on Remarkable Geometric Properties of Space -- The Method of Statistical Analysis of the Scientific, Colloquial, Belles-Lettres and Newspaper Styles on the Phonological Level -- Theoptimal Aggregation of Integrated Regional Systems “Production, Wasterecycling” -- Intelligent Systems Design of Distance Learning Realization for Modern Youth Promotion and Involvement in Independent Scientific Researches -- An Ontology-based Approach for User Interface Adaptation -- Algebraic Framework for Knowledge Processing in Systems With Situational Awareness -- Classification Methods of Text Documents Using Ontology Based Approach -- The Identıfıcatıon of the Operator's Systems Images Usıng the Method of the Phase Portraıt -- Concept implementation of Decision Support Software for the Risk Management of Complex Technical System -- The Model of Data Analysis of the Psychophysiological Survey Results -- Two Algorithms Median Filtering to Identify the Time Series Trend -- Use Electric and Acoustic Technologies for Automated Control of Water -- Analysis of Clustering Algorithms -- Semantic Search Personalized Data as Special Method of Processing Medical Information. |
| Record Nr. | UNINA-9910254160703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings / / edited by David Cheung, Graham J. Williams, Qing Li
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings / / edited by David Cheung, Graham J. Williams, Qing Li |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XVII, 599 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data structures (Computer science)
Artificial intelligence Information storage and retrieval Information technology Business—Data processing Application software Mathematical statistics Data Structures and Information Theory Artificial Intelligence Information Storage and Retrieval IT in Business Information Systems Applications (incl. Internet) Probability and Statistics in Computer Science |
| ISBN | 3-540-45357-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Presentations -- Incompleteness in Data Mining -- Mining E-Commerce Data: The Good, the Bad, and the Ugly -- Seamless Integration of Data Mining with DBMS and Applications -- Web Mining -- Applying Pattern Mining to Web Information Extraction -- Empirical Study of Recommender Systems Using Linear Classifiers -- iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping -- A Characterized Rating Recommend System -- Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents -- Text Mining -- Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification -- Predictive Self-Organizing Networks for Text Categorization -- Meta-learning Models for Automatic Textual Document Categorization -- Efficient Algorithms for Concept Space Construction -- Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks -- Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps -- Applications and Tools -- Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis -- A Toolbox Approach to Flexible and Efficient Data Mining -- Determining Progression in Glaucoma Using Visual Fields -- Seabreeze Prediction Using Bayesian Networks -- Semi-supervised Learning in Medical Image Database -- On Application of Rough Data Mining Methods to Automatic Construction of Student Models -- Concept Hierarchies -- Concept Approximation in Concept Lattice -- Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data -- Representing Large Concept Hierarchies Using Lattice Data Structure -- Feature Selection -- Feature Selection for Temporal Health Records -- Boosting the Performance of Nearest Neighbour Methods with Feature Selection -- Feature Selection for Meta-learning -- Interestingness -- Efficient Mining of Niches and Set Routines -- Evaluation of Interestingness Measures for Ranking Discovered Knowledge -- Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data -- Sequence Mining -- Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control -- Scalable Hierarchical Clustering Method for Sequences of Categorical Values -- FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences -- Sequential Index Structure for Content-Based Retrieval -- Spatial and Temporal Mining -- The S 2-Tree: An Index Structure for Subsequence Matching of Spatial Objects -- Temporal Data Mining Using Hidden Markov-Local Polynomial Models -- Patterns Discovery Based on Time-Series Decomposition -- Criteria on Proximity Graphs for Boundary Extraction and Spatial Clustering -- Micro Similarity Queries in Time Series Database -- Association Mining -- Mining Optimal Class Association Rule Set -- Generating Frequent Patterns with the Frequent Pattern List -- User-Defined Association Mining -- Direct and Incremental Computing of Maximal Covering Rules -- Towards Efficient Data Re-mining (DRM) -- Data Allocation Algorithm for Parallel Association Rule Discovery -- Classification and Rule Induction -- Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm -- Hierarchical Classification of Documents with Error Control -- An Efficient Data Compression Approach to the Classification Task -- Combining the Strength of Pattern Frequency and Distance for Classification -- A Scalable Algorithm for Rule Post-pruning of Large Decision Trees -- Optimizing the Induction of Alternating Decision Trees -- Building Behaviour Knowledge Space to Make Classification Decision -- Clustering -- Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions -- A Rough Set-Based Clustering Method with Modification of Equivalence Relations -- Importance of Individual Variables in the k-Means Algorithm -- A Hybrid Approach to Clustering in Very Large Databases -- Advanced Topics and New Methods -- A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method -- Rule Reduction over Numerical Attributes in Decision Trees Using Multilayer Perceptron -- Knowledge Acquisition from Both Human Expert and Data -- Neighborhood Dependencies for Prediction -- Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms -- Interactive Construction of Decision Trees -- An Improved Learning Algorithm for Augmented Naive Bayes -- Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data. |
| Record Nr. | UNINA-9910143597403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings / / edited by David Cheung, Graham J. Williams, Qing Li
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 16-18, 2001. Proceedings / / edited by David Cheung, Graham J. Williams, Qing Li |
| Edizione | [1st ed. 2001.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 |
| Descrizione fisica | 1 online resource (XVII, 599 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Data structures (Computer science)
Artificial intelligence Information storage and retrieval Information technology Business—Data processing Application software Mathematical statistics Data Structures and Information Theory Artificial Intelligence Information Storage and Retrieval IT in Business Information Systems Applications (incl. Internet) Probability and Statistics in Computer Science |
| ISBN | 3-540-45357-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Presentations -- Incompleteness in Data Mining -- Mining E-Commerce Data: The Good, the Bad, and the Ugly -- Seamless Integration of Data Mining with DBMS and Applications -- Web Mining -- Applying Pattern Mining to Web Information Extraction -- Empirical Study of Recommender Systems Using Linear Classifiers -- iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping -- A Characterized Rating Recommend System -- Discovery of Frequent Tree Structured Patterns in Semistructured Web Documents -- Text Mining -- Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification -- Predictive Self-Organizing Networks for Text Categorization -- Meta-learning Models for Automatic Textual Document Categorization -- Efficient Algorithms for Concept Space Construction -- Topic Detection, Tracking, and Trend Analysis Using Self-Organizing Neural Networks -- Automatic Hypertext Construction through a Text Mining Approach by Self-Organizing Maps -- Applications and Tools -- Semantic Expectation-Based Causation Knowledge Extraction: A Study on Hong Kong Stock Movement Analysis -- A Toolbox Approach to Flexible and Efficient Data Mining -- Determining Progression in Glaucoma Using Visual Fields -- Seabreeze Prediction Using Bayesian Networks -- Semi-supervised Learning in Medical Image Database -- On Application of Rough Data Mining Methods to Automatic Construction of Student Models -- Concept Hierarchies -- Concept Approximation in Concept Lattice -- Generating Concept Hierarchies/Networks: Mining Additional Semantics in Relational Data -- Representing Large Concept Hierarchies Using Lattice Data Structure -- Feature Selection -- Feature Selection for Temporal Health Records -- Boosting the Performance of Nearest Neighbour Methods with Feature Selection -- Feature Selection for Meta-learning -- Interestingness -- Efficient Mining of Niches and Set Routines -- Evaluation of Interestingness Measures for Ranking Discovered Knowledge -- Peculiarity Oriented Mining and Its Application for Knowledge Discovery in Amino-Acid Data -- Sequence Mining -- Mining Sequence Patterns from Wind Tunnel Experimental Data for Flight Control -- Scalable Hierarchical Clustering Method for Sequences of Categorical Values -- FFS - An I/O-Efficient Algorithm for Mining Frequent Sequences -- Sequential Index Structure for Content-Based Retrieval -- Spatial and Temporal Mining -- The S 2-Tree: An Index Structure for Subsequence Matching of Spatial Objects -- Temporal Data Mining Using Hidden Markov-Local Polynomial Models -- Patterns Discovery Based on Time-Series Decomposition -- Criteria on Proximity Graphs for Boundary Extraction and Spatial Clustering -- Micro Similarity Queries in Time Series Database -- Association Mining -- Mining Optimal Class Association Rule Set -- Generating Frequent Patterns with the Frequent Pattern List -- User-Defined Association Mining -- Direct and Incremental Computing of Maximal Covering Rules -- Towards Efficient Data Re-mining (DRM) -- Data Allocation Algorithm for Parallel Association Rule Discovery -- Classification and Rule Induction -- Direct Domain Knowledge Inclusion in the PA3 Rule Induction Algorithm -- Hierarchical Classification of Documents with Error Control -- An Efficient Data Compression Approach to the Classification Task -- Combining the Strength of Pattern Frequency and Distance for Classification -- A Scalable Algorithm for Rule Post-pruning of Large Decision Trees -- Optimizing the Induction of Alternating Decision Trees -- Building Behaviour Knowledge Space to Make Classification Decision -- Clustering -- Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions -- A Rough Set-Based Clustering Method with Modification of Equivalence Relations -- Importance of Individual Variables in the k-Means Algorithm -- A Hybrid Approach to Clustering in Very Large Databases -- Advanced Topics and New Methods -- A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method -- Rule Reduction over Numerical Attributes in Decision Trees Using Multilayer Perceptron -- Knowledge Acquisition from Both Human Expert and Data -- Neighborhood Dependencies for Prediction -- Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms -- Interactive Construction of Decision Trees -- An Improved Learning Algorithm for Augmented Naive Bayes -- Generalised RBF Networks Trained Using an IBL Algorithm for Mining Symbolic Data. |
| Record Nr. | UNISA-996465775103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Knowledge Management [[electronic resource] ] : Celebrating Twenty Years of Research and Practice / / edited by Ettore Bolisani, Meliha Handzic
| Advances in Knowledge Management [[electronic resource] ] : Celebrating Twenty Years of Research and Practice / / edited by Ettore Bolisani, Meliha Handzic |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (226 p.) |
| Disciplina | 658.4038 |
| Collana | Knowledge Management and Organizational Learning |
| Soggetto topico |
Information technology
Business—Data processing Data mining Organization Planning IT in Business Data Mining and Knowledge Discovery |
| ISBN | 3-319-09501-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analyzing the Past: Knowledge Management: Origins, History and Development -- Knowledge Management Concepts and Models -- A Descriptive Analysis of Knowledge Management Research: Period from 1997 to 2012 -- Acting in Present: Knowledge Management in the Public Sector: UK Case Study Perspectives -- Supporting Business Managers with Knowledge Management -- Understanding and Improving the Professional Toolbox: Communities of Practice as a Paradigmatic Lesson for Knowledge Management -- Predicting the Future: Future Research About Knowledge and Knowledge Management - Results from the Global Knowledge Research Network Study -- What Practitioners (Should) Want and Expect: A Personal Perspective -- The Next Generation of Knowledge Management: Mapping-based Assessment Models. |
| Record Nr. | UNINA-9910298498203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in National Brand and Private Label Marketing [[electronic resource] ] : Seventh International Conference, 2020 / / edited by Francisco J. Martinez-Lopez, Juan Carlos Gázquez-Abad, Els Breugelmans
| Advances in National Brand and Private Label Marketing [[electronic resource] ] : Seventh International Conference, 2020 / / edited by Francisco J. Martinez-Lopez, Juan Carlos Gázquez-Abad, Els Breugelmans |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xi, 206 pages) : illustrations |
| Disciplina | 658.827 |
| Collana | Springer Proceedings in Business and Economics |
| Soggetto topico |
Marketing
Information technology Business—Data processing Industrial psychology IT in Business Industrial and Organizational Psychology |
| ISBN | 3-030-47764-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910399872303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
