Advances in Knowledge Discovery and Data Mining

6th Pacific-Asia Conference, PAKDD 2002, Taipei, Taiwan, May 6-8, 2002. Proceedings

Häftad, Engelska, 2002

1 369 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2002-04-26
Mått155 x 235 x 32 mm
Vikt879 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor570
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540437048

Tillhör följande kategorier

Artificiell intelligens inom Data och IT
Databaser inom Data och IT
Referensverk och tvärvetenskap inom Samhälle och politik
Matematisk statistik inom Naturvetenskap och teknik
Informationsteknik: allmänt inom Data och IT
Affärsapplikationer inom Data och IT
Programmeringsböcker inom Data och IT
Systemvetenskap och AI inom Data och IT

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 toInformation 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.

Du kanske också är intresserad av

Sentiment Analysis

Bing Liu, Chicago) Liu, Bing (University of Illinois

Inbunden

1 159 kr

Lifelong and Continual Learning Dialogue Systems

Sahisnu Mazumder, Bing Liu

Häftad

569 kr

Sentiment Analysis in Social Networks

Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu, Italy) Pozzi, Federico Alberto (SAS Institute, Italy) Fersini, Elisabetta (University of Milano-Bicocca, Italy) Messina, Enza (University of Milano-Bicocca, China) Liu, Bing (Associate Professor, College of Agriculture, Nanjing Agricultural University, Nanjing, Jiangsu, Pozzi,Federico Albert

Häftad

699 kr