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Advances in Knowledge Discovery and Data Mining : 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings - Honghua Dai
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Honghua Dai:

Advances in Knowledge Discovery and Data Mining : 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings - Taschenbuch

2004, ISBN: 354022064X

[EAN: 9783540220640], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], DATA MINING (EDV); WISSENSBASIERTES SYSTEM; BAYESIANNETWORK; ALGORITHMS; CLASSIFICATION; DATAMINING; KNOWLEDGED… Mehr…

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Advances in Knowledge Discovery and Data Mining 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings - Dai, Honghua (Herausgeber); Zhang, Chengqi (Herausgeber); Srikant, Ramakrishnan (Herausgeber)
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Dai, Honghua (Herausgeber); Zhang, Chengqi (Herausgeber); Srikant, Ramakrishnan (Herausgeber):

Advances in Knowledge Discovery and Data Mining 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings - neues Buch

2004, ISBN: 354022064X

2004 Kartoniert / Broschiert Data Mining (EDV), Wissensbasiertes System, Informationstheorie, Mathematische und statistische Software, Grafische und digitale Media-Anwendungen, Algorith… Mehr…

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Advances in Knowledge Discovery and Data Mining 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings - Dai, Honghua (Herausgeber); Zhang, Chengqi (Herausgeber); Srikant, Ramakrishnan (Herausgeber)
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Dai, Honghua (Herausgeber); Zhang, Chengqi (Herausgeber); Srikant, Ramakrishnan (Herausgeber):
Advances in Knowledge Discovery and Data Mining 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings - neues Buch

2004

ISBN: 354022064X

2004 Kartoniert / Broschiert Data Mining (EDV), Wissensbasiertes System, Informationstheorie, Wahrscheinlichkeitsrechnung und Statistik, Grafische und digitale Media-Anwendungen, Algori… Mehr…

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Dai, Honghua, Ramakrishnan Srikant & Chengqui Zhang (Eds):
Advances in Knowledge Discovery and Data Ming - Taschenbuch

2004, ISBN: 9783540220640

Paperback, 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings. (LNAI 3056) Berlin: Springer, 2004. 713pp., Very good plus with bent corner on front c… Mehr…

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Advances in Knowledge Discovery and Data Mining - Honghua Dai; Ramakrishnan Srikant; Chengqi Zhang
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Honghua Dai; Ramakrishnan Srikant; Chengqi Zhang:
Advances in Knowledge Discovery and Data Mining - Taschenbuch

2004, ISBN: 9783540220640

8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2004

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Bibliographische Daten des bestpassenden Buches

Details zum Buch
Advances in Knowledge Discovery and Data Mining

This book constitutes the refereed proceedings of the 8th Pacific-Asia Conference on Knowledge Discovery and Data mining, PAKDD 2004, held in Sydney, Australia in May 2004.The 50 revised full papers and 31 revised short papers presented were carefully reviewed and selected from a total of 238 submissions. The papers are organized in topical sections on classification; clustering; association rules; novel algorithms; event mining, anomaly detection, and intrusion detection; ensemble learning; Bayesian network and graph mining; text mining; multimedia mining; text mining and Web mining; statistical methods, sequential data mining, and time series mining; and biomedical data mining.

Detailangaben zum Buch - Advances in Knowledge Discovery and Data Mining


EAN (ISBN-13): 9783540220640
ISBN (ISBN-10): 354022064X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2004
Herausgeber: Springer Berlin
740 Seiten
Gewicht: 1,099 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-05-04T20:34:04+02:00 (Zurich)
Detailseite zuletzt geändert am 2022-09-14T14:16:38+02:00 (Zurich)
ISBN/EAN: 9783540220640

ISBN - alternative Schreibweisen:
3-540-22064-X, 978-3-540-22064-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: ramakrishnan, zhang dai, sri ramakrishna, sri ram
Titel des Buches: knowledge discovery data mining, lecture notes data mining, discovery science, advances data mining, lecture notes computer science, australia beyond, data net ufo, conference proceedings, australia our, pacific discovery


Daten vom Verlag:

Autor/in: Honghua Dai; Ramakrishnan Srikant; Chengqi Zhang
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advances in Knowledge Discovery and Data Mining - 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004, Proceedings
Verlag: Springer; Springer Berlin
716 Seiten
Erscheinungsjahr: 2004-05-11
Berlin; Heidelberg; DE
Gewicht: 1,101 kg
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XIX, 716 p.

BC; Data Structures and Information Theory; Hardcover, Softcover / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; Informatik; Bayesian network; algorithms; classification; data mining; knowledge discovery; multimedia; service-oriented computing; web mining; Artificial Intelligence; Database Management; Information Storage and Retrieval; Multimedia Information Systems; Probability and Statistics in Computer Science; Data Structures and Information Theory; Artificial Intelligence; Database Management; Information Storage and Retrieval; Multimedia Information Systems; Probability and Statistics in Computer Science; Informationstheorie; Künstliche Intelligenz; Datenbanken; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Grafische und digitale Media-Anwendungen; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; EA

Invited Speeches.- Mining of Evolving Data Streams with Privacy Preservation.- Data Mining Grand Challenges.- Session 1A: Classification (I).- Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms.- Spectral Energy Minimization for Semi-supervised Learning.- Discriminative Methods for Multi-labeled Classification.- Session 1B: Clustering (I).- Subspace Clustering of High Dimensional Spatial Data with Noises.- Constraint-Based Graph Clustering through Node Sequencing and Partitioning.- Mining Expressive Process Models by Clustering Workflow Traces.- Session 1C: Association Rules (I).- CMTreeMiner: Mining Both Closed and Maximal Frequent Subtrees.- Secure Association Rule Sharing.- Self-Similar Mining of Time Association Rules.- Session 2A: Novel Algorithms (I).- ParaDualMiner: An Efficient Parallel Implementation of the DualMiner Algorithm.- A Novel Distributed Collaborative Filtering Algorithm and Its Implementation on P2P Overlay Network.- An Efficient Algorithm for Dense Regions Discovery from Large-Scale Data Streams.- Blind Data Linkage Using n-gram Similarity Comparisons.- Condensed Representation of Emerging Patterns.- Session 2B: Association (II).- Discovery of Maximally Frequent Tag Tree Patterns with Contractible Variables from Semistructured Documents.- Mining Term Association Rules for Heuristic Query Construction.- FP-Bonsai: The Art of Growing and Pruning Small FP-Trees.- Mining Negative Rules Using GRD.- Applying Association Rules for Interesting Recommendations Using Rule Templates.- Session 2C: Classification (II).- Feature Extraction and Classification System for Nonlinear and Online Data.- A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index.- DRC-BK: Mining Classification Rules with Help of SVM.- A New Data Mining Method Using Organizational Coevolutionary Mechanism.- Noise Tolerant Classification by Chi Emerging Patterns.- The Application of Emerging Patterns for Improving the Quality of Rare-Class Classification.- Session 3A: Event Mining, Anomaly Detection, and Intrusion Detection.- Finding Negative Event-Oriented Patterns in Long Temporal Sequences.- OBE: Outlier by Example.- Temporal Sequence Associations for Rare Events.- Summarization of Spacecraft Telemetry Data by Extracting Significant Temporal Patterns.- An Extended Negative Selection Algorithm for Anomaly Detection.- Adaptive Clustering for Network Intrusion Detection.- Session 3B: Ensemble Learning.- Ensembling MML Causal Discovery.- Logistic Regression and Boosting for Labeled Bags of Instances.- Fast and Light Boosting for Adaptive Mining of Data Streams.- Compact Dual Ensembles for Active Learning.- On the Size of Training Set and the Benefit from Ensemble.- Session 3C: Bayesian Network and Graph Mining.- Identifying Markov Blankets Using Lasso Estimation.- Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory.- Using Self-Consistent Naive-Bayes to Detect Masquerades.- DB-Subdue: Database Approach to Graph Mining.- Session 3D: Text Mining (I).- Finding Frequent Structural Features among Words in Tree-Structured Documents.- Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining.- Classifying Text Streams in the Presence of Concept Drifts.- Using Cluster-Based Sampling to Select Initial Training Set for Active Learning in Text Classification.- Spectral Analysis of Text Collection for Similarity-Based Clustering.- Session 4A: Clustering (II).- Clustering Multi-represented Objects with Noise.- Providing Diversity in K-Nearest Neighbor Query Results.- Cluster Structure of K-means Clustering via Principal Component Analysis.- Combining Clustering with Moving Sequential Pattern Mining: A Novel and Efficient Technique.- An Alternative Methodology for Mining Seasonal Pattern Using Self-Organizing Map.- Session 4B: Association (III).- ISM: Item Selection for Marketing with Cross-Selling Considerations.- Efficient Pattern-Growth Methods for Frequent Tree Pattern Mining.- Mining Association Rules from Structural Deltas of Historical XML Documents.- Data Mining Proxy: Serving Large Number of Users for Efficient Frequent Itemset Mining.- Session 4C: Novel Algorithms (II).- Formal Approach and Automated Tool for Translating ER Schemata into OWL Ontologies.- Separating Structure from Interestingness.- Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance.- Session 4D: Multimedia Mining.- Automatic Text Extraction for Content-Based Image Indexing.- Peculiarity Oriented Analysis in Multi-people Tracking Images.- AutoSplit: Fast and Scalable Discovery of Hidden Variables in Stream and Multimedia Databases.- Session 5A: Text Mining and Web Mining (II).- Semantic Sequence Kin: A Method of Document Copy Detection.- Extracting Citation Metadata from Online Publication Lists Using BLAST.- Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models.- Discovering Ordered Tree Patterns from XML Queries.- Predicting Web Requests Efficiently Using a Probability Model.- Session 5B: Statistical Methods, Sequential Data Mining, and Time Series Mining.- CCMine: Efficient Mining of Confidence-Closed Correlated Patterns.- A Conditional Probability Distribution-Based Dissimilarity Measure for Categorial Data.- Learning Hidden Markov Model Topology Based on KL Divergence for Information Extraction.- A Non-parametric Wavelet Feature Extractor for Time Series Classification.- Rules Discovery from Cross-Sectional Short-Length Time Series.- Session 5C: Novel Algorithms (III).- Constraint-Based Mining of Formal Concepts in Transactional Data.- Towards Optimizing Conjunctive Inductive Queries.- Febrl – A Parallel Open Source Data Linkage System.- A General Coding Method for Error-Correcting Output Codes.- Discovering Partial Periodic Patterns in Discrete Data Sequences.- Session 5D: Biomedical Mining.- Conceptual Mining of Large Administrative Health Data.- A Semi-automatic System for Tagging Specialized Corpora.- A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer.- A Novel Parameter-Less Clustering Method for Mining Gene Expression Data.- Extracting and Explaining Biological Knowledge in Microarray Data.- Further Applications of a Particle Visualization Framework.

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