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Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II - Shigemasa Suga
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Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II - neues Buch

2013, ISBN: 9783642374562

The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, A… Mehr…

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Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II - Pierre Lambert
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Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II - neues Buch

2013, ISBN: 9783642374562

The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, A… Mehr…

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Advances in Knowledge Discovery and Data Mining - neues Buch

2013

ISBN: 9783642374562

The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, A… Mehr…

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Longbing Cao; Hiroshi Motoda; Jian Pei; Vincent S. Tseng; Guandong Xu:
Advances in Knowledge Discovery and Data Mining - neues Buch

2013, ISBN: 9783642374562

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Details zum Buch
Advances in Knowledge Discovery and Data Mining
Autor:
Titel:
ISBN-Nummer:

9783642374562

Detailangaben zum Buch - Advances in Knowledge Discovery and Data Mining


EAN (ISBN-13): 9783642374562
Erscheinungsjahr: 2013
Herausgeber: Springer Berlin Heidelberg

Buch in der Datenbank seit 2016-11-28T23:02:21+01:00 (Vienna)
Detailseite zuletzt geändert am 2023-11-16T21:08:26+01:00 (Vienna)
ISBN/EAN: 9783642374562

ISBN - alternative Schreibweisen:
978-3-642-37456-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: tseng
Titel des Buches: gold coast, pacific discovery

Daten vom Verlag:

Autor/in: Jian Pei; Vincent S. Tseng; Longbing Cao; Hiroshi Motoda; Guandong Xu
Titel: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advances in Knowledge Discovery and Data Mining - 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II
Verlag: Springer; Springer Berlin
588 Seiten
Erscheinungsjahr: 2013-04-05
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XXII, 588 p. 157 illus.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Data Mining; Verstehen; big data; recommender systems; social media mining; text classification; transfer learning; C; Data Mining and Knowledge Discovery; Artificial Intelligence; Information Storage and Retrieval; Computer Science; Wissensbasierte Systeme, Expertensysteme; Künstliche Intelligenz; Informationsrückgewinnung, Information Retrieval; Data Warehousing; BC

ProCF: Probabilistic Collaborative Filtering for Reciprocal Recommendation.- Product and User Dependent Social Network Models for Recommender Systems.- Learning Representative Nodes in Social Networks.- Tracing Influential Nodes in a Social Network with Competing Information.- ViStruclizer: A Structural Visualizer for Multi-dimensional Social Networks.- Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks.- Modeling Social Information Learning among Taxi Drivers.- Mining User Interests from Information Sharing Behaviors in Social Media.- Anonymization for Multiple Released Social Network Graphs.- A New, Fast and Accurate Algorithm for Hierarchical Clustering on Euclidean Distances.- Clustering Patient Medical Records via Sparse Subspace Representation.- A Unified Metric for Categorical and Numerical Attributes in Data Clustering.- An Extension of the Infinite Relational Model Incorporating Interaction between Objects.- Density-Based Clustering Based on Hierarchical Density Estimates.- Stock Trend Prediction by Classifying Aggregative Web Topic-Opinion.- The Role of Hubs in Cross-Lingual Supervised Document Retrieval.- Text Document Topical Recursive Clustering and Automatic Labeling of a Hierarchy of Document Clusters.- Query-Document Relevance Topic Models.- A Two-Stage Approach for Generating Topic Models.- Effective Top-Down Active Learning for Hierarchical Text Classification.- Forgetting Word Segmentation in Chinese Text Classification with L1-Regularized Logistic Regression.- Crest: Cluster-based Representation Enrichment for Short Text Classification.- Cross Language Prediction of Vandalism on Wikipedia Using Article Views and Revisions.- An Optimized Cost-Sensitive SVM for Imbalanced Data Learning.- A Positive-biased Nearest Neighbour Algorithm for Imbalanced Classification.- Class Based Weighted K-Nearest Neighbor over Imbalance Dataset.- ProWSyn: Proximity Weighted Synthetic Oversampling Technique for Imbalanced Data Set Learning.- Differential Privacy Preserving Spectral Graph Analysis.- Sorted Nearest Neighborhood Clustering for Efficient Private Blocking.- On Linear Refinement of Differential Privacy-Preserving Query Answering.- A Coupled Clustering Approach for Items Recommendation.- Location Recommendation Based on Periodicity of Human Activities and Location Categories.- Top-N Recommendations by Learning User Preference Dynamics.- Semantic Title Evaluation and Recommendation Based on Topic Models.- Video Quality Prediction over Wireless 4G.- A Self-immunizing Manifold Ranking for Image Retrieval.- Low-Rank Matrix Recovery with Discriminant Regularization.- Multi-Manifold Ranking: Using Multiple Features for Better Image Retrieval.- One Pass Concept Change Detection for Data Streams.- Incremental Mining of Significant URLs in Real-Time and Large-Scale Social Streams.- A Concept-Drifting Detection Algorithm for Categorical Evolving Data.- Framework for Storing and Processing Relational Entities in Stream Mining.- Discovering Semantics from Multiple Correlated Time Series Stream.- Matrix Factorization With Aggregated Observations.- An Approach to Identifying False Traces in Process Event Logs.- Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes.- Adaptive Temporal Entity Resolution on Dynamic Databases.- Fuzzy Multi-Sphere Support Vector Data Description.
State-of-the-art research Fast track conference proceedings Up-to-date results in knowledge discovery and data mining

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