Advances in Knowledge Discovery and Data Mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II - Taschenbuch
2013, ISBN: 3642374557
[EAN: 9783642374555], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], BIGDATA; RECOMMENDERSYSTEMS; SOCIALMEDIAMINING; TEXTCLASSIFICATION; TRANSFERLEARNING, Druck auf Anfrage Neuware… Mehr…
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2013, ISBN: 9783642374555
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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: 3642374557
2013 Kartoniert / Broschiert Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Künstliche Intelligenz, Bigdata; recommendersystems; SocialMediaMining; Tex… 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 - gebrauchtes Buch
2013, ISBN: 9783642374555
[PU: Springer Berlin], Buchschnitt verkürzt - gepflegter, sauberer Zustand - Auflage 23635903/11, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2013, Banküberweisung, PayPal,… Mehr…
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2013, ISBN: 3642374557
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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 - Taschenbuch
2013, ISBN: 3642374557
[EAN: 9783642374555], Neubuch, [SC: 0.0], [PU: Springer Berlin Heidelberg], BIGDATA; RECOMMENDERSYSTEMS; SOCIALMEDIAMINING; TEXTCLASSIFICATION; TRANSFERLEARNING, Druck auf Anfrage Neuware… Mehr…
2013, ISBN: 9783642374555
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…
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: 3642374557
2013 Kartoniert / Broschiert Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Künstliche Intelligenz, Bigdata; recommendersystems; SocialMediaMining; Tex… Mehr…
Advances in Knowledge Discovery and Data Mining 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part II - gebrauchtes Buch
2013, ISBN: 9783642374555
[PU: Springer Berlin], Buchschnitt verkürzt - gepflegter, sauberer Zustand - Auflage 23635903/11, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2013, Banküberweisung, PayPal,… Mehr…
2013, ISBN: 3642374557
Advances in Knowledge Discovery and Data Mining ab 85.49 € als Taschenbuch: 17th Pacific-Asia Conference PAKDD 2013 Gold Coast Australia April 14-17 2013 Proceedings Part II. Auflage 2013… Mehr…
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Detailangaben zum Buch - Advances in Knowledge Discovery and Data Mining
EAN (ISBN-13): 9783642374555
ISBN (ISBN-10): 3642374557
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2013
Herausgeber: Springer Berlin
Buch in der Datenbank seit 2014-02-20T19:14:35+01:00 (Zurich)
Detailseite zuletzt geändert am 2024-04-16T20:14:38+02:00 (Zurich)
ISBN/EAN: 9783642374555
ISBN - alternative Schreibweisen:
3-642-37455-7, 978-3-642-37455-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: moto, vincent, long, hiro, jian, tseng, pei
Titel des Buches: data net ufo, conference proceedings, knowledge, gold australia, data mining, pei, 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: 2013-03-19
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XXII, 588 p. 157 illus.
BC; Hardcover, Softcover / Informatik, EDV/Informatik; Data Mining; Verstehen; Informatik; big data; recommender systems; social media mining; text classification; transfer learning; Data Mining and Knowledge Discovery; Artificial Intelligence; Information Storage and Retrieval; Wissensbasierte Systeme, Expertensysteme; Künstliche Intelligenz; Informationsrückgewinnung, Information Retrieval; Data Warehousing; EA
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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