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Advanced Data Mining and Applications : 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings - Changjie Tang
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Changjie Tang:

Advanced Data Mining and Applications : 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings - Taschenbuch

2008, ISBN: 3540881913

[EAN: 9783540881919], Neubuch, [SC: 36.11], [PU: Springer Berlin Heidelberg], DATA MINING (EDV); DATENVERARBEITUNG / ANWENDUNGEN MEDIZIN; BETRIEB, VERWALTUNG; EDV THEORIE SOFTWARE-ENTW. S… Mehr…

NEW BOOK. Versandkosten: EUR 36.11 AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Advanced Data Mining and Applications : 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings - Changjie Tang
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Changjie Tang:

Advanced Data Mining and Applications : 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings - Taschenbuch

2008, ISBN: 3540881913

[EAN: 9783540881919], Neubuch, [SC: 35.91], [PU: Springer Berlin Heidelberg], DATA MINING (EDV); DATENVERARBEITUNG / ANWENDUNGEN MEDIZIN; BETRIEB, VERWALTUNG; EDV THEORIE SOFTWARE-ENTW. S… Mehr…

NEW BOOK. Versandkosten: EUR 35.91 AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Advanced Data Mining and Applications: 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings Changjie Tang Editor
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Advanced Data Mining and Applications: 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings Changjie Tang Editor - neues Buch

2008

ISBN: 9783540881919

The Fourth International Conference on Advanced Data Mining and Applications (ADMA 2008) will be held in Chengdu, China, followed by the last three successful ADMA conferences (2005 in Wu… Mehr…

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Advanced Data Mining and Applications
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Advanced Data Mining and Applications - neues Buch

2008, ISBN: 9783540881919

The Fourth International Conference on Advanced Data Mining and Applications (ADMA 2008) will be held in Chengdu, China, followed by the last three successful ADMA conferences (2005 in Wu… Mehr…

Nr. 978-3-540-88191-9. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00)
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Advanced Data Mining and Applications 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings - Tang, Changjie, Charles X. Ling  und Xiaofang Zhou
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Tang, Changjie, Charles X. Ling und Xiaofang Zhou:
Advanced Data Mining and Applications 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings - gebrauchtes Buch

2008, ISBN: 9783540881919

[PU: Springer Berlin], Neubindung, Buchrücken, -ecken u. -kanten leicht angestossen 4774843/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2008, PayPal, Klarna-Sofortüberw… Mehr…

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Details zum Buch
Advanced Data Mining and Applications: 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings Changjie Tang Editor

This book constitutes the refereed proceedings of the 4th International Conference on Advanced Data Mining and Applications, ADMA 2008, held in Chengdu, China, in October 2008. The 35 revised full papers and 43 revised short papers presented together with the abstract of 2 keynote lectures were carefully reviewed and selected from 304 submissions. The papers focus on advancements in data mining and peculiarities and challenges of real world applications using data mining and feature original research results in data mining, spanning applications, algorithms, software and systems, and different applied disciplines with potential in data mining.

Detailangaben zum Buch - Advanced Data Mining and Applications: 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings Changjie Tang Editor


EAN (ISBN-13): 9783540881919
ISBN (ISBN-10): 3540881913
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2008
Herausgeber: Springer Berlin Heidelberg Core >1 >T
759 Seiten
Gewicht: 1,093 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-06-16T01:13:19+02:00 (Vienna)
Detailseite zuletzt geändert am 2024-02-21T23:59:00+01:00 (Vienna)
ISBN/EAN: 9783540881919

ISBN - alternative Schreibweisen:
3-540-88191-3, 978-3-540-88191-9
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: nick, ling, zhou, ang tang, lin tan, xue can, yang hong, yang liu, han
Titel des Buches: chengdu, data mining, china 2008, october, advanced, proceedings artificial intelligence conference, data science, tang china


Daten vom Verlag:

Autor/in: Changjie Tang; Charles X. Ling; Xiaofang Zhou; Nick Cercone; Xue Li
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advanced Data Mining and Applications - 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008, Proceedings
Verlag: Springer; Springer Berlin
759 Seiten
Erscheinungsjahr: 2008-09-29
Berlin; Heidelberg; DE
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XVII, 759 p.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Bayesian network; Bayesian networks; algorithms; benchmarking; classification; correlation mining; decision tree; e-commerce; information retrieval; local learning; maintenance; ontology; programming; proving; testing; Artificial Intelligence; Health Sciences; Data Mining and Knowledge Discovery; Software Engineering; Computer Application in Administrative Data Processing; Computer and Information Systems Applications; Medizin, allgemein; Data Mining; Wissensbasierte Systeme, Expertensysteme; Software Engineering; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Angewandte Informatik; EA

Keynotes.- An Introduction to Transfer Learning.- Autonomy-Oriented Computing (AOC), Self-organized Computability, and Complex Data Mining.- Regular Papers.- Improving Angle Based Mappings.- Mining Natural Language Programming Directives with Class-Oriented Bayesian Networks.- Boosting over Groups and Its Application to Acronym-Expansion Extraction.- A Genetic-Based Feature Construction Method for Data Summarisation.- Suicidal Risk Evaluation Using a Similarity-Based Classifier.- Gene Selection for Cancer Classification Using DCA.- FARS: A Multi-relational Feature and Relation Selection Approach for Efficient Classification.- Enhancing Text Categorization Using Sentence Semantics.- Mining Evolving Web Sessions and Clustering Dynamic Web Documents for Similarity-Aware Web Content Management.- Data Quality in Privacy Preservation for Associative Classification.- Timeline Analysis of Web News Events.- Analysis of Alarm Sequences in a Chemical Plant.- Speed Up SVM Algorithm for Massive Classification Tasks.- Mining Supplemental Frequent Patterns.- A Distributed Privacy-Preserving Association Rules Mining Scheme Using Frequent-Pattern Tree.- Dichotomy Method toward Interactive Testing-Based Fault Localization.- Maintaining the Maximum Normalized Mean and Applications in Data Stream Mining.- Identification of Interface Residues Involved in Protein-Protein Interactions Using Naïve Bayes Classifier.- Negative Generator Border for Effective Pattern Maintenance.- CommTracker: A Core-Based Algorithm of Tracking Community Evolution.- Face Recognition Using Clustering Based Optimal Linear Discriminant Analysis.- A Novel Immune Based Approach for Detection of Windows PE Virus.- Using Genetic Algorithms for Parameter Optimization in Building Predictive Data Mining Models.- Using DataMining Methods to Predict Personally Identifiable Information in Emails.- Iterative Reinforcement Cross-Domain Text Classification.- Extracting Decision Rules from Sigmoid Kernel.- DMGrid: A Data Mining System Based on Grid Computing.- S-SimRank: Combining Content and Link Information to Cluster Papers Effectively and Efficiently.- Open Domain Recommendation: Social Networks and Collaborative Filtering.- An Effective Approach for Identifying Evolving Three-Dimensional Structural Motifs in Protein Folding Data.- Texture Image Retrieval Based on Contourlet Transform and Active Perceptual Similarity Learning.- A Temporal Dominant Relationship Analysis Method.- Leakage-Aware Energy Efficient Scheduling for Fixed-Priority Tasks with Preemption Thresholds.- Short Papers.- Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters.- TARtool: A Temporal Dataset Generator for Market Basket Analysis.- Dimensionality Reduction for Classification.- Trajectories Mining for Traffic Condition Renewing.- Mining Bug Classifier and Debug Strategy Association Rules for Web-Based Applications.- Test the Overall Significance of p-values by Using Joint Tail Probability of Ordered p-values as Test Statistic.- Mining Interesting Infrequent and Frequent Itemsets Based on MLMS Model.- Text Learning and Hierarchical Feature Selection in Webpage Classification.- The RSO Algorithm for Reducing Number of Set Operations in Association Rule Mining.- Predictive Performance of Clustered Feature-Weighting Case-Based Reasoning.- Selecting the Right Features for Bipartite-Based Text Clustering.- Image Emotional Classification Based on Color Semantic Description.- A Semi-supervised Clustering Algorithm Based on Must-Link Set.- T-rotation: Multiple Publications of Privacy PreservingData Sequence.- The Integrated Methodology of KPCA and Wavelet Support Vector Machine for Predicting Financial Distress.- Outlier Detection Based on Voronoi Diagram.- AWSum – Data Mining for Insight.- Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data.- Rules Extraction Based on Data Summarisation Approach Using DARA.- A Rough-Apriori Technique in Mining Linguistic Association Rules.- Mining Causal Knowledge from Diagnostic Knowledge.- Modified Particle Swarm Optimizer with Adaptive Dynamic Weights for Cancer Combinational Chemotherapy.- MPSQAR: Mining Quantitative Association Rules Preserving Semantics.- Using Support Vector Regression for Classification.- Dynamic Growing Self-organizing Neural Network for Clustering.- A Design of Reward Function Based on Knowledge in Multi-agent Learning.- A Learning Method of Detecting Anomalous Pedestrian.- Moment+: Mining Closed Frequent Itemsets over Data Stream.- CDPM: Finding and Evaluating Community Structure in Social Networks.- Using Matrix Model to Find Association Rule Core for Diverse Compound Critiques.- Link-Contexts for Ranking.- DC-Tree: An Algorithm for Skyline Query on Data Streams.- Sequential Pattern Mining for Protein Function Prediction.- Improving Web Search by Categorization, Clustering, and Personalization.- JSNVA: A Java Straight-Line Drawing Framework for Network Visual Analysis.- Recognition of Data Records in Semi-structured Web-Pages Using Ontology and ? 2 Statistical Distribution.- Organizing Structured Deep Web by Clustering Query Interfaces Link Graph.- CBP: A New Efficient Method for Mining Multilevel and Generalized Frequent Itemsets.- Supporting Customer Retention through Real-Time Monitoring of Individual Web Usage.- A Comparative Study of CorrelationMeasurements for Searching Similar Tags.- Structure of Query Modification Process: Branchings.- Mining Top-n Local Outliers in Constrained Spatial Networks.- Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees.- Automatic Web Tagging and Person Tagging Using Language Models.- Real-Time Person Tracking Based on Data Field.

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