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Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings / / edited by Tu Bao Ho, David Cheung, Huan Liu
| Advances in Knowledge Discovery and Data Mining [[electronic resource] ] : 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings / / edited by Tu Bao Ho, David Cheung, Huan Liu |
| Edizione | [1st ed. 2005.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Descrizione fisica | 1 online resource (XXI, 864 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Database management Information storage and retrieval Mathematical statistics Multimedia information systems Application software Artificial Intelligence Database Management Information Storage and Retrieval Probability and Statistics in Computer Science Multimedia Information Systems Computer Appl. in Administrative Data Processing |
| ISBN |
3-540-31935-2
3-540-26076-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speech and Invited Talks -- Theoretic Foundations -- Association Rules -- Biomedical Domains -- Classification and Ranking -- Clustering -- Dynamic Data Mining -- Graphic Model Discovery -- High Dimensional Data -- Integration of Data Warehousing -- Knowledge Management -- Machine Learning Methods -- Novel Algorithms -- Spatial Data -- Temporal Data -- Text and Web Data Mining. |
| Record Nr. | UNISA-996465702503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Disinformation, Misinformation, and Fake News in Social Media [[electronic resource] ] : Emerging Research Challenges and Opportunities / / edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
| Disinformation, Misinformation, and Fake News in Social Media [[electronic resource] ] : Emerging Research Challenges and Opportunities / / edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource |
| Disciplina | 070.43 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Data mining
Social sciences—Data processing Social sciences—Computer programs Application software Social media Journalism Data Mining and Knowledge Discovery Computational Social Sciences Computer Appl. in Social and Behavioral Sciences Social Media |
| ISBN | 3-030-42699-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Social Network Analysis and Cyber Forensics Informed Exploration of Disinformation Campaigns -- Mitigating Fake News through Fact-checking URL recommendation -- Detecting Fake News with Semi-supervised Tensor Decomposition -- Learning Hierarchical Discourse-level Structure for Fake News Detection -- Mining Styles and Emotions for Fake News Detection -- Fake News Detection with Deep Diffusive Network Model -- Fake News Detection: An Interdisciplinary Research -- Jointly Identifying Framing Bias and Detecting Fake News on Social Media. |
| Record Nr. | UNISA-996465359703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Disinformation, Misinformation, and Fake News in Social Media : Emerging Research Challenges and Opportunities / / edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
| Disinformation, Misinformation, and Fake News in Social Media : Emerging Research Challenges and Opportunities / / edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource |
| Disciplina |
070.43
302.231 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Data mining
Social sciences—Data processing Social sciences—Computer programs Application software Social media Journalism Data Mining and Knowledge Discovery Computational Social Sciences Computer Appl. in Social and Behavioral Sciences Social Media |
| ISBN | 3-030-42699-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Social Network Analysis and Cyber Forensics Informed Exploration of Disinformation Campaigns -- Mitigating Fake News through Fact-checking URL recommendation -- Detecting Fake News with Semi-supervised Tensor Decomposition -- Learning Hierarchical Discourse-level Structure for Fake News Detection -- Mining Styles and Emotions for Fake News Detection -- Fake News Detection with Deep Diffusive Network Model -- Fake News Detection: An Interdisciplinary Research -- Jointly Identifying Framing Bias and Detecting Fake News on Social Media. |
| Record Nr. | UNINA-9910410033903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge discovery and data mining : current issues and new applications : 4th Pacific-Asia Conference, PAKDD 2000, Kyoto, Japan, April 18-20, 2000 : proceedings / / Takao Terano, Huan Liu, Arbee L.P. Chen (eds.)
| Knowledge discovery and data mining : current issues and new applications : 4th Pacific-Asia Conference, PAKDD 2000, Kyoto, Japan, April 18-20, 2000 : proceedings / / Takao Terano, Huan Liu, Arbee L.P. Chen (eds.) |
| Edizione | [1st ed. 2000.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2000] |
| Descrizione fisica | 1 online resource (475 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Database searching
Database management Data mining |
| ISBN |
1-280-95182-6
9786610951826 3-540-45571-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speeches and Invited Talk -- Perspective on Data Mining from Statistical Viewpoints -- Inductive Databases and Knowledge Scouts -- Hyperlink-Aware Mining and Analysis of the Web -- Data Mining Theory -- Polynomial Time Matching Algorithms for Tree-Like Structured Patterns in Knowledge Discovery -- Fast Discovery of Interesting Rules -- Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases -- Minimum Message Length Criterion for Second-Order Polynomial Model Discovery -- Frequent Itemset Counting Across Multiple Tables -- Frequent Closures as a Concise Representation for Binary Data Mining -- An Optimization Problem in Data Cube System Design -- Exception Rule Mining with a Relative Interestingness Measure -- Feature Selection and Transformation -- Consistency Based Feature Selection -- Feature Selection for Clustering -- A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases -- Missing Value Estimation Based on Dynamic Attribute Selection -- On Association, Similarity and Dependency of Attributes -- Clustering -- Prototype Generation Based on Instance Filtering and Averaging -- A Visual Method of Cluster Validation with Fastmap -- COE: Clustering with Obstacles Entities A Preliminary Study -- Combining Sampling Technique with DBSCAN Algorithm for Clustering Large Spatial Databases -- Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases -- Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble Averaging -- Application of Data Mining -- Attribute Transformations on Numerical Databases -- Efficient Detection of Local Interactions in the Cascade Model -- Extracting Predictors of Corporate Bankruptcy: Empirical Study on Data Mining Methods -- Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets -- Discovering Protein Functional Models Using Inductive Logic Programming -- Mining Web Transaction Patterns in an Electronic Commerce Environment -- Association Rules and Related Topics -- Making Use of the Most Expressive Jumping Emerging Patterns for Classification -- Mining Structured Association Patterns from Databases -- Association Rules -- Density-Based Mining of Quantitative Association Rules -- AViz: A Visualization System for Discovering Numeric Association Rules -- Discovering Unordered and Ordered Phrase Association Patterns for Text Mining -- Using Random Walks for Mining Web Document Associations -- Induction -- A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction Method -- Scaling Up a Boosting-Based Learner via Adaptive Sampling -- Adaptive Boosting for Spatial Functions with Unstable Driving Attributes -- Robust Ensemble Learning for Data Mining -- Interactive Visualization in Mining Large Decision Trees -- VQTree: Vector Quantization for Decision Tree Induction -- Making Knowledge Extraction and Reasoning Closer -- Discovery of Relevant Weights by Minimizing Cross-Validation Error -- Efficient and Comprehensible Local Regression -- Information Granules for Spatial Reasoning -- Text, Web, and Graph Mining -- Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive Architecture -- Mining Access Patterns Efficiently from Web Logs -- A Comparative Study of Classification Based Personal E-mail Filtering -- Extension of Graph-Based Induction for General Graph Structured Data -- Text-Source Discovery and GlOSS Update in a Dynamic Web -- Extraction of Fuzzy Clusters from Weighted Graphs -- Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms. |
| Record Nr. | UNINA-9910144130103321 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2000] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge discovery and data mining : current issues and new applications : 4th Pacific-Asia Conference, PAKDD 2000, Kyoto, Japan, April 18-20, 2000 : proceedings / / Takao Terano, Huan Liu, Arbee L.P. Chen (eds.)
| Knowledge discovery and data mining : current issues and new applications : 4th Pacific-Asia Conference, PAKDD 2000, Kyoto, Japan, April 18-20, 2000 : proceedings / / Takao Terano, Huan Liu, Arbee L.P. Chen (eds.) |
| Edizione | [1st ed. 2000.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2000] |
| Descrizione fisica | 1 online resource (475 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Database searching
Database management Data mining |
| ISBN |
1-280-95182-6
9786610951826 3-540-45571-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speeches and Invited Talk -- Perspective on Data Mining from Statistical Viewpoints -- Inductive Databases and Knowledge Scouts -- Hyperlink-Aware Mining and Analysis of the Web -- Data Mining Theory -- Polynomial Time Matching Algorithms for Tree-Like Structured Patterns in Knowledge Discovery -- Fast Discovery of Interesting Rules -- Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases -- Minimum Message Length Criterion for Second-Order Polynomial Model Discovery -- Frequent Itemset Counting Across Multiple Tables -- Frequent Closures as a Concise Representation for Binary Data Mining -- An Optimization Problem in Data Cube System Design -- Exception Rule Mining with a Relative Interestingness Measure -- Feature Selection and Transformation -- Consistency Based Feature Selection -- Feature Selection for Clustering -- A Simple Dimensionality Reduction Technique for Fast Similarity Search in Large Time Series Databases -- Missing Value Estimation Based on Dynamic Attribute Selection -- On Association, Similarity and Dependency of Attributes -- Clustering -- Prototype Generation Based on Instance Filtering and Averaging -- A Visual Method of Cluster Validation with Fastmap -- COE: Clustering with Obstacles Entities A Preliminary Study -- Combining Sampling Technique with DBSCAN Algorithm for Clustering Large Spatial Databases -- Predictive Adaptive Resonance Theory and Knowledge Discovery in Databases -- Improving Generalization Ability of Self-Generating Neural Networks Through Ensemble Averaging -- Application of Data Mining -- Attribute Transformations on Numerical Databases -- Efficient Detection of Local Interactions in the Cascade Model -- Extracting Predictors of Corporate Bankruptcy: Empirical Study on Data Mining Methods -- Evaluating Hypothesis-Driven Exception-Rule Discovery with Medical Data Sets -- Discovering Protein Functional Models Using Inductive Logic Programming -- Mining Web Transaction Patterns in an Electronic Commerce Environment -- Association Rules and Related Topics -- Making Use of the Most Expressive Jumping Emerging Patterns for Classification -- Mining Structured Association Patterns from Databases -- Association Rules -- Density-Based Mining of Quantitative Association Rules -- AViz: A Visualization System for Discovering Numeric Association Rules -- Discovering Unordered and Ordered Phrase Association Patterns for Text Mining -- Using Random Walks for Mining Web Document Associations -- Induction -- A Concurrent Approach to the Key-Preserving Attribute-Oriented Induction Method -- Scaling Up a Boosting-Based Learner via Adaptive Sampling -- Adaptive Boosting for Spatial Functions with Unstable Driving Attributes -- Robust Ensemble Learning for Data Mining -- Interactive Visualization in Mining Large Decision Trees -- VQTree: Vector Quantization for Decision Tree Induction -- Making Knowledge Extraction and Reasoning Closer -- Discovery of Relevant Weights by Minimizing Cross-Validation Error -- Efficient and Comprehensible Local Regression -- Information Granules for Spatial Reasoning -- Text, Web, and Graph Mining -- Uncovering the Hierarchical Structure of Text Archives by Using an Unsupervised Neural Network with Adaptive Architecture -- Mining Access Patterns Efficiently from Web Logs -- A Comparative Study of Classification Based Personal E-mail Filtering -- Extension of Graph-Based Induction for General Graph Structured Data -- Text-Source Discovery and GlOSS Update in a Dynamic Web -- Extraction of Fuzzy Clusters from Weighted Graphs -- Text Summarization by Sentence Segment Extraction Using Machine Learning Algorithms. |
| Record Nr. | UNISA-996465820603316 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2000] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Spectral feature selection for data mining / / Zheng Alan Zhao, Huan Liu
| Spectral feature selection for data mining / / Zheng Alan Zhao, Huan Liu |
| Autore | Zhao Zheng (Zheng Alan) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | 2011 |
| Descrizione fisica | 1 online resource (216 p.) |
| Disciplina |
006.3/12
006.312 |
| Collana | Chapman & Hall/CRC data mining and knowledge discovery series |
| Soggetto topico | Data mining |
| ISBN |
9786613908575
9781000023077 1000023079 9780429107191 0429107196 9781283596121 1283596121 9781439862100 1439862109 |
| Classificazione | BUS061000COM000000COM012040 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Cover; Dedication; Contents; Preface; Authors; Symbol Description; 1. Data of High Dimensionality and Challenges; 2. Univariate Formulations for Spectral Feature Selection; 3. Multivariate Formulations; 4. Connections to Existing Algorithms; 5. Large-Scale Spectral Feature Selection; 6. Multi-Source Spectral Feature Selection; References |
| Record Nr. | UNINA-9910316451103321 |
Zhao Zheng (Zheng Alan)
|
||
| 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Twitter data analytics / / Shamanth Kumar, Fred Morstatter, Huan Liu
| Twitter data analytics / / Shamanth Kumar, Fred Morstatter, Huan Liu |
| Autore | Kumar Shamanth |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | New York : , : Springer, , 2014 |
| Descrizione fisica | 1 online resource (x, 77 pages) : illustrations (some color), color maps |
| Disciplina | 006.312 |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico | Data mining |
| ISBN | 1-4614-9372-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Crawling Twitter data -- Storing Twitter data -- Analyzing Twitter data -- Visualizing Twitter data. |
| Record Nr. | UNINA-9910299049603321 |
|
Kumar Shamanth
|
||
| New York : , : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||