Advanced Data Mining and Applications : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I - neues Buch
2010, ISBN: 9783642173165
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Advanced Data Mining and Applications : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I - neues Buch
2010, ISBN: 9783642173165
With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind.The overwhelming demand for informati… Mehr…
2010, ISBN: 9783642173165
With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for informat… Mehr…
2010
ISBN: 9783642173165
With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for informat… Mehr…
2010, ISBN: 9783642173165
6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I, eBooks, eBook Download (PDF), [PU: Springer Berlin Heidelberg], Springer Berlin Heide… Mehr…
2010, ISBN: 9783642173165
Advanced Data Mining and Applications ab 106.99 EURO 6th International Conference ADMA 2010 Chongqing China November 19-21 2010 Proceedings Part I Medien > Bücher, [PU: Springer, Berlin/H… Mehr…
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Detailangaben zum Buch - Advanced Data Mining and Applications
EAN (ISBN-13): 9783642173165
Erscheinungsjahr: 2010
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2017-02-11T18:32:18+01:00 (Zurich)
Detailseite zuletzt geändert am 2024-03-14T06:11:06+01:00 (Zurich)
ISBN/EAN: 9783642173165
ISBN - alternative Schreibweisen:
978-3-642-17316-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: yong
Titel des Buches: data mining, chongqing
Daten vom Verlag:
Autor/in: Longbing Cao; Yong Feng; Jiang Zhong
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advanced Data Mining and Applications - 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I
Verlag: Springer; Springer Berlin
628 Seiten
Erscheinungsjahr: 2010-11-18
Berlin; Heidelberg; DE
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XIII, 628 p. 221 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Clustering; HPC; adaptive algorithms; classification; data mining; data types; graphs; knowledge discovery; machine learning; online communities; pattern mining; sensor data; sequences; spatial datasets; web mining; C; Artificial Intelligence; Computer Communication Networks; Computer and Information Systems Applications; Information Storage and Retrieval; Database Management; Data Mining and Knowledge Discovery; Computer Science; Netzwerk-Hardware; Angewandte Informatik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Datenbanken; Data Mining; Wissensbasierte Systeme, Expertensysteme; BC
Data Mining Foundations.- Cost Sensitive Classification in Data Mining.- Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory.- Discriminative Markov Logic Network Structure Learning Based on Propositionalization and ? 2-Test.- EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining.- Best Clustering Configuration Metrics: Towards Multiagent Based Clustering.- On Probabilistic Models for Uncertain Sequential Pattern Mining.- Cube Based Summaries of Large Association Rule Sets.- A Perceptron-Like Linear Supervised Algorithm for Text Classification.- Research on Time Series Forecasting Model Based on Moore Automata.- A Clustering Algorithm FCM-ACO for Supplier Base Management.- Nearest Neighbour Distance Matrix Classification.- Classification Inductive Rule Learning with Negated Features.- Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces.- DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining.- An Improved Rough Clustering Using Discernibility Based Initial Seed Computation.- Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling.- Topic-Constrained Hierarchical Clustering for Document Datasets.- Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach.- MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN.- An Efficient Algorithm for Mining Erasable Itemsets.- Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series.- Deep Web Sources Classifier Based on DSOM-EACO Clustering Model.- Kernel Based K-Medoids for Clustering Data with Uncertainty.- Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery.- SpatialNeighborhood Clustering Based on Data Field.- Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier.- A Centroid k-Nearest Neighbor Method.- Mining Spatial Association Rules with Multi-relational Approach.- An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm.- A Novel Clustering Algorithm Based on Gravity and Cluster Merging.- Data Mining in Specific Areas.- Evolution Analysis of a Mobile Social Network.- Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks.- Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution.- Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data.- Frequent Pattern Trend Analysis in Social Networks.- Efficient Privacy-Preserving Data Mining in Malicious Model.- Analyze the Wild Birds’ Migration Tracks by MPI-Based Parallel Clustering Algorithm.- Formal Concept Analysis Based Clustering for Blog Network Visualization.- Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach.- Weigted-FP-Tree Based XML Query Pattern Mining.- Privacy-Preserving Data Mining in Presence of Covert Adversaries.- Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs.- Combating Link Spam by Noisy Link Analysis.- High Dimensional Image Categorization.- Efficiently Mining Co-Location Rules on Interval Data.- Multiple Attribute Frequent Mining-Based for Dengue Outbreak.- A Top-Down Approach for Hierarchical Cluster Exploration by Visualization.- Distributed Frequent Items Detection on Uncertain Data.- Mining Uncertain Sentences with Multiple Instance Learning.- WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to OutlierDetection in Time Series Data.- TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support.- Research on Similarity Matching for Multiple Granularities Time-Series Data.- A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks.- Investigating Sequential Patterns of DNS Usage and Its Applications.- Key Issues and Theoretical Framework on Moving Objects Data Mining.- An Improved KNN Based Outlier Detection Algorithm for Large Datasets.- Some Developments of Determinacy Analysis.- A New Computational Framework for Gene Expression Clustering.- Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree.- Inspired Rule-Based User Identification.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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