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2010, ISBN: 9783642173127

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Cao, Longbing, Yong Feng und Jiang Zhong:
Advanced Data Mining and Applications 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II - Taschenbuch

2010

ISBN: 3642173128

[EAN: 9783642173127], Gebraucht, guter Zustand, [SC: 0.0], [PU: Springer Berlin], HPC,ADAPTIVE ALGORITHMS,KNOWLEDGE DISCOVERY,BOOTSTRAP AGGREGATING,CLASSIFICATION,PATTERN MINING,MACHINE L… Mehr…

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Cao, Longbing, Yong Feng und Jiang Zhong:
Advanced Data Mining and Applications 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II - gebrauchtes Buch

2010, ISBN: 9783642173127

[PU: Springer Berlin], Neubindung, Buchrücken leicht geknickt und eingerissen, Part 2 10152649/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2010, Banküberweisung, PayPal… Mehr…

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Advanced Data Mining and Applications 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II - Cao, Longbing, Yong Feng  und Jiang Zhong
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Cao, Longbing, Yong Feng und Jiang Zhong:
Advanced Data Mining and Applications 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II - gebrauchtes Buch

2010, ISBN: 9783642173127

[PU: Springer Berlin], Neubindung, Buchrücken leicht geknickt und eingerissen, Part 2 10152649/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2010, PayPal, Klarna-Sofortüb… Mehr…

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Advanced Data Mining and Applications: 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II Longbing

This book constitutes the refereed proceedings of the 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, held in Chongqing, China, in November 2010. 63 carefully reviewed regular papers and 55 revised short papers were presented. The papers are organized in topical sections on data mining foundations; data mining in specific areas; data mining methodologies and processes; and data mining applications and systems.

Detailangaben zum Buch - Advanced Data Mining and Applications: 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II Longbing


EAN (ISBN-13): 9783642173127
ISBN (ISBN-10): 3642173128
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer Berlin Heidelberg Core >1
572 Seiten
Gewicht: 0,675 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2008-03-25T00:14:14+01:00 (Zurich)
Detailseite zuletzt geändert am 2024-03-14T06:11:10+01:00 (Zurich)
ISBN/EAN: 9783642173127

ISBN - alternative Schreibweisen:
3-642-17312-8, 978-3-642-17312-7
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: feng, yong, zhong, jürgen neukirch
Titel des Buches: data mining, conférence, proceedings artificial intelligence conference, november, proceedings the second international conference, chongqing, klassenkörpertheorie, lecture notes artificial intelligence, cao


Daten vom Verlag:

Autor/in: Longbing Cao; Yong Feng; Jiang Zhong
Titel: Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II
Verlag: Springer; Springer Berlin
576 Seiten
Erscheinungsjahr: 2010-11-05
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
XIII, 576 p. 198 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Informatik; Clustering; HPC; adaptive algorithms; bootstrap aggregating; classification; collaborative filtering; data mining; data types; graphs; knowledge discovery; machine learning; online communities; pattern mining; text mining; visualization; Artificial Intelligence; Computer and Information Systems Applications; Information Storage and Retrieval; Database Management; Data Mining and Knowledge Discovery; Computer Communication Networks; Angewandte Informatik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Datenbanken; Data Mining; Wissensbasierte Systeme, Expertensysteme; Netzwerk-Hardware; EA

III Data Mining Methodologies and Processes.- Incremental Learning by Heterogeneous Bagging Ensemble.- CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform.- A General Multi-relational Classification Approach Using Feature Generation and Selection.- A Unified Approach to the Extraction of Rules from Artificial Neural Networks and Support Vector Machines.- A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets.- Change a Sequence into a Fuzzy Number.- Multiple Kernel Learning Improved by MMD.- A Refinement Approach to Handling Model Misfit in Semi-supervised Learning.- Soft Set Approach for Selecting Decision Attribute in Data Clustering.- Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study.- Adapt the mRMR Criterion for Unsupervised Feature Selection.- Evaluating the Distance between Two Uncertain Categorical Objects.- Construction Cosine Radial Basic Function Neural Networks Based on Artificial Immune Networks.- Spatial Filter Selection with LASSO for EEG Classification.- Boolean Algebra and Compression Technique for Association Rule Mining.- Cluster Based Symbolic Representation and Feature Selection for Text Classification.- SimRate: Improve Collaborative Recommendation Based on Rating Graph for Sparsity.- Logistic Regression for Transductive Transfer Learning from Multiple Sources.- Double Table Switch: An Efficient Partitioning Algorithm for Bottom-Up Computation of Data Cubes.- IV Data Mining Applications and Systems.- Tag Recommendation Based on Bayesian Principle.- Comparison of Different Methods to Fuse Theos Images.- Using Genetic K-Means Algorithm for PCA Regression Data in Customer Churn Prediction.- Time-Constrained Test Selection for Regression Testing.- Chinese New Word Detection from Query Logs.- Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization.- Topic-Based User Segmentation for Online Advertising with Latent Dirichlet Allocation.- Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition.- Real-Time Hand Detection and Tracking Using LBP Features.- Modeling DNS Activities Based on Probabilistic Latent Semantic Analysis.- A New Statistical Approach to DNS Traffic Anomaly Detection.- Managing Power Conservation in Wireless Networks.- Using PCA to Predict Customer Churn in Telecommunication Dataset.- Hierarchical Classification with Dynamic-Threshold SVM Ensemble for Gene Function Prediction.- Personalized Tag Recommendation Based on User Preference and Content.- Predicting Defect Priority Based on Neural Networks.- Personalized Context-Aware QoS Prediction for Web Services Based on Collaborative Filtering.- Hybrid Semantic Analysis System – ATIS Data Evaluation.- Click Prediction for Product Search on C2C Web Sites.- Finding Potential Research Collaborators in Four Degrees of Separation.- Predicting Product Duration for Adaptive Advertisement.- An Algorithm for Available Bandwidth Estimation of IPv6 Network.- A Structure-Based XML Storage Method in YAFFS File System.- A Multi-dimensional Trustworthy Behavior Monitoring Method Based on Discriminant Locality Preserving Projections.- NN-SA Based Dynamic Failure Detector for Services Composition in Distributed Environment.- Two-Fold Spatiotemporal Regression Modeling in Wireless Sensor Networks.- Generating Tags for Service Reviews.- Developing Treatment Plan Support in Outpatient Health Care Delivery with Decision Trees Technique.- Factor Analysis of E-business in Skill-Based Strategic Collaboration.- Increasing the Meaningful Use of Electronic Medical Records:A Localized Health Level 7 Clinical Document Architecture System.- Corpus-Based Analysis of the Co-occurrence of Chinese Antonym Pairs.- Application of Decision-Tree Based on Prediction Model for Project Management.- Management Policies Analysis for Multi-core Shared Caches.- Multi-core Architecture Cache Performance Analysis and Optimization Based on Distributed Method.- The Research on the User Experience of E-Commercial Website Based on User Subdivision.- An Ontology-Based Framework Model for Trustworthy Software Evolution.- Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval.- A Distributed Node Clustering Mechanism in P2P Networks.- Exploratory Factor Analysis Approach for Understanding Consumer Behavior toward Using Chongqing City Card.

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