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Advances in Knowledge Discovery and Data Mining
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Advances in Knowledge Discovery and Data Mining - nouveau livre

2002, ISBN: 9783540437048

Knowledge discovery and data mining have become areas of growing significance because of the recent increasing demand for KDD techniques, including those used in machine learning, databas… Plus…

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Advances in Knowledge Discovery and Data Mining 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. - Ming-Syan, Cheng
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Advances in Knowledge Discovery and Data Mining 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. - Livres de poche

2002, ISBN: 3540437045

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Advances in Knowledge Discovery and Data Mining 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. - livre d'occasion

2002

ISBN: 9783540437048

mittel Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence 233. xiv, 570 S. XIII, 568 pp. 235 mmEinbandkartoniert; Gewicht 984g 2002. , mit leichten äusserlichen … Plus…

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Advances in Knowledge Discovery and Data Mining 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings - Cheng, Ming-Syan (Herausgeber); Liu, Bing (Herausgeber); Yu, Philip S. (Herausgeber)
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Cheng, Ming-Syan (Herausgeber); Liu, Bing (Herausgeber); Yu, Philip S. (Herausgeber):
Advances in Knowledge Discovery and Data Mining 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings - nouveau livre

2002, ISBN: 3540437045

2002 Kartoniert / Broschiert Data Mining (EDV), Informationstheorie, Wahrscheinlichkeitsrechnung und Statistik, Digital- und Informationstechnologien: soziale und ethische Aspekte, Math… Plus…

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Liu, Bing (Editor)/ Yu, Philip S. (Editor):
Advances in Knowledge Discovery and Data Mining: 6th Pacific-Asia Conference, Pakdd 2002, Taipei, Taiwan, May 6-8, 2002 : Proceedings - Livres de poche

2002, ISBN: 9783540437048

Springer Verlag, 2002. Paperback. New. 1st edition. 568 pages. 9.25x6.25x1.50 inches., Springer Verlag, 2002, 6

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Détails sur le livre
Advances in Knowledge Discovery and Data Mining

This book constitutes the refereed proceedings of the 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2002, held in Taipei, Taiwan, in May 2002.The 32 revised full papers and 20 short papers presented together with 4 invited contributions were carefully reviewed and selected from a total of 128 submissions. The papers are organized in topical sections on association rules; classification; interestingness; sequence mining; clustering; Web mining; semi-structure and concept mining; data warehouse and data cube; bio-data mining; temporal mining; and outliers, missing data, and causation.

Informations détaillées sur le livre - Advances in Knowledge Discovery and Data Mining


EAN (ISBN-13): 9783540437048
ISBN (ISBN-10): 3540437045
Version reliée
Livre de poche
Date de parution: 2002
Editeur: Springer Berlin
588 Pages
Poids: 0,984 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-06-10T11:58:31+02:00 (Paris)
Page de détail modifiée en dernier sur 2023-08-14T13:49:01+02:00 (Paris)
ISBN/EAN: 9783540437048

ISBN - Autres types d'écriture:
3-540-43704-5, 978-3-540-43704-8
Autres types d'écriture et termes associés:
Auteur du livre: bing, liu, proust, lippert jakob, kirmeier, bin cheng, ming berlin
Titre du livre: taiwan, knowledge discovery data mining, discovery science, advances data mining, 2336, taipei, pacific discovery viii, proceedings artificial intelligence conference, auf der suche nach der verlornen zeit, auf der suche nach der verlorenen zeit, kaiser heinrich, lecture notes artificial intelligence, oskar niedermayer, asia pacific, 2002


Données de l'éditeur

Auteur: Ming-Syan Cheng; Philip S. Yu; Bing Liu
Titre: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advances in Knowledge Discovery and Data Mining - 6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings
Editeur: Springer; Springer Berlin
570 Pages
Date de parution: 2002-04-26
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Poids: 0,984 kg
Langue: Anglais
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XIV, 570 p.

BC; Artificial Intelligence; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; classification; clustering; data mining; data warehouse; knowledge; knowledge discovery; web mining; Data Structures and Information Theory; Database Management; Probability and Statistics in Computer Science; Statistics and Computing/Statistics Programs; Computers and Society; Artificial Intelligence; Data Structures and Information Theory; Database Management; Probability and Statistics in Computer Science; Statistics and Computing; Computers and Society; Algorithmen und Datenstrukturen; Informationstheorie; Datenbanken; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; Mathematische und statistische Software; Digital- und Informationstechnologien: soziale und ethische Aspekte; EA

Industrial Papers (Invited).- Network Data Mining and Analysis: The Project.- Privacy Preserving Data Mining: Challenges and Opportunities.- Survey Papers (Invited).- A Case for Analytical Customer Relationship Management.- On Data Clustering Analysis: Scalability, Constraints, and Validation.- Association Rules (I).- Discovering Numeric Association Rules via Evolutionary Algorithm.- Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining.- Association Rule Mining on Remotely Sensed Images Using P-trees.- On the Efficiency of Association-Rule Mining Algorithms.- Classification (I).- A Function-Based Classifier Learning Scheme Using Genetic Programming.- SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning.- A Method to Boost Naïve Bayesian Classifiers.- Toward Bayesian Classifiers with Accurate Probabilities.- Interestingness.- Pruning Redundant Association Rules Using Maximum Entropy Principle.- A Confidence-Lift Support Specification for Interesting Associations Mining.- Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators.- Mining Interesting Association Rules: A Data Mining Language.- The Lorenz Dominance Order as a Measure of Interestingness in KDD.- Sequence Mining.- Efficient Algorithms for Incremental Update of Frequent Sequences.- DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology.- Self-Similarity for Data Mining and Predictive Modeling A Case Study for Network Data.- A New Mechanism of Mining Network Behavior.- Clustering.- M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining.- An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory.- Adding Personality to Information Clustering.- Clustering Large Categorical Data.- Web Mining.- WebFrame: In Pursuit of Computationally and Cognitively Efficient Web Mining.- Naviz:Website Navigational Behavior Visualizer.- Optimal Algorithms for Finding User Access Sessions from Very Large Web Logs.- Automatic Information Extraction for Multiple Singular Web Pages.- Association Rules (II).- An Improved Approach for the Discovery of Causal Models via MML.- SETM*-MaxK: An Efficient SET-Based Approach to Find the Largest Itemset.- Discovery of Ordinal Association Rules.- Value Added Association Rules.- Top Down FP-Growth for Association Rule Mining.- Semi-structure & Concept Mining.- Discovery of Frequent Tag Tree Patterns in Semistructured Web Documents.- Extracting Characteristic Structures among Words in Semistructured Documents.- An Efficient Algorithm for Incremental Update of Concept Spaces.- Data Warehouse and Data Cube.- Efficient Constraint-Based Exploratory Mining on Large Data Cubes.- Efficient Utilization of Materialized Views in a Data Warehouse.- Bio-Data Mining.- Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR.- Evaluation of Techniques for Classifying Biological Sequences.- Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques.- Classification (II).- Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem.- GEC: An Evolutionary Approach for Evolving Classifiers.- An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for Classification.- A Method to Boost Support Vector Machines.- Temporal Mining.- Distribution Discovery: Local Analysis of Temporal Rules.- News Sensitive Stock Trend Prediction.- User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models.- Classification (III).- Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web.- k-nearest Neighbor Classification on Spatial Data Streams Using P-trees.- Interactive Construction of Classification Rules.- Outliers, Missing Data, and Causation.- Enhancing Effectiveness of Outlier Detections for Low Density Patterns.- Cluster-Based Algorithms for Dealing with Missing Values.- Extracting Causation Knowledge from Natural Language Texts.- Mining Relationship Graphs for Effective Business Objectives.

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