Verfügbarkeit: Advanced Data Mining and Applications

Advanced Data Mining and Applications: 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : Proceedings, Part I

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Bibliographische Detailangaben
Weitere beteiligte Personen:	Motoda, Hiroshi 1943- (HerausgeberIn), Wu, Zhaohui (HerausgeberIn), Cao, Longbing (HerausgeberIn), Zaiane, Osmar (HerausgeberIn), Yao, Min (HerausgeberIn), Wang, Wei (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	Englisch
Veröffentlicht:	Berlin ; Heidelberg ; NewYork ; Dordrecht ; London Springer [2013]
Schriftenreihe:	Lecture Notes in Computer Science 8346 : Lecture Notes in Artificial Intelligence
Schlagwörter:	Computer science Data mining Information storage and retrieval Artificial intelligence Computer Science Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Information Storage and Retrieval Informatik Künstliche Intelligenz Data Mining Automatische Klassifikation Maschinelles Lernen Konferenzschrift > 2013 > Hangzhou
Links:	https://doi.org/10.1007/978-3-642-53914-5 https://doi.org/10.1007/978-3-642-53914-5 https://doi.org/10.1007/978-3-642-53914-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632584&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632584&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	1 Online-Ressource (XXII, 588 Seiten) 217 Illustrationen
ISBN:	9783642539145 9783642539138
DOI:	10.1007/978-3-642-53914-5

Internformat

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Datensatz im Suchindex

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adam_text	ADVANCED DATA MINING AND APPLICATIONS / : 2013 TABLE OF CONTENTS / INHALTSVERZEICHNIS OPINION MINING MINING E-COMMERCE FEEDBACK COMMENTS FOR DIMENSION RATING PROFILES GENERATING DOMAIN-SPECIFIC SENTIMENT LEXICONS FOR OPINION MINING EFFECTIVE COMMENT SENTENCE RECOGNITION FOR FEATURE-BASED OPINION MINING EXPLOITING CO-OCCURRENCE OPINION WORDS FOR SEMI-SUPERVISED SENTIMENT CLASSIFICATION BEHAVIOR MINING HN-SIM: A STRUCTURAL SIMILARITY MEASURE OVER OBJECT-BEHAVIOR NETWORKS COMMUNITY BASED USER BEHAVIOR ANALYSIS ON DAILY MOBILE INTERNET USAGE STREAM MINING TRACKING DRIFT TYPES IN CHANGING DATA STREAMS CONTINUOUSLY EXTRACTING HIGH-QUALITY REPRESENTATIVE SET FROM MASSIVE DATA STREAMS CHANGE ITEMSET MINING IN DATA STREAMS SEQUENTIAL DATA MINING TKS: EFFICIENT MINING OF TOP-K SEQUENTIAL PATTERNS WHEN OPTIMIZATION IS JUST AN ILLUSION ACCURATE AND FAST DYNAMIC TIME WARPING ONLINE DETECTING SPREADING EVENTS WITH THE SPATIO-TEMPORAL RELATIONSHIP IN WATER DISTRIBUTION NETWORKS MLSP: MINING HIERARCHICALLY-CLOSED MULTI-LEVEL SEQUENTIAL PATTERNS MINING MAXIMAL SEQUENTIAL PATTERNS WITHOUT CANDIDATE MAINTENANCE WEB MINING IMPROVED SLOPE ONE COLLABORATIVE FILTERING PREDICTOR USING FUZZY CLUSTERING TOWARDS BUILDING VIRTUAL VOCABULARIES IN THE SEMANTIC WEB WEB MINING ACCELERATED WITH IN-MEMORY AND COLUMN STORE TECHNOLOGY IMAGE MINING CONSTRUCTING A NOVEL POS-NEG MANIFOLD FOR GLOBAL-BASED IMAGE CLASSIFICATION 3-D MRI BRAIN SCAN FEATURE CLASSIFICATION USING AN OCT-TREE REPRESENTATION BIOMETRIC TEMPLATE PROTECTION BASED ON BIOMETRIC CERTIFICATE AND FUZZY FINGERPRINT VAULT A COMPARATIVE STUDY OF THREE IMAGE REPRESENTATIONS FOR POPULATION ESTIMATION MINING USING REMOTE SENSING IMAGERY MIXED-NORM REGRESSION FOR VISUAL CLASSIFICATION RESEARCH ON MAP MATCHING BASED ON HIDDEN MARKOV MODEL TEXT MINING A RULE-BASED NAMED-ENTITY RECOGNITION FOR MALAY ARTICLES SMALL IS POWERFUL! TOWARDS A REFINEDLY ENRICHED ONTOLOGY BY CAREFUL PRUNING AND TRIMMING REFINE THE CORPORA BASED ON DOCUMENT MANIFOLD SOCIAL NETWORK MINING ONLINE FRIENDS RECOMMENDATION BASED ON GEOGRAPHIC TRAJECTORIES AND SOCIAL RELATIONS THE SPONTANEOUS BEHAVIOR IN EXTREME EVENTS: A CLUSTERING-BASED QUANTITATIVE ANALYSIS RESTORING: A GREEDY HEURISTIC APPROACH BASED ON NEIGHBORHOOD FOR CORRELATION CLUSTERING A LOCAL GREEDY SEARCH METHOD FOR DETECTING COMMUNITY STRUCTURE IN WEIGHTED SOCIAL NETWORKS TREE-BASED MINING FOR DISCOVERING PATTERNS OF REPOSTING BEHAVIOR IN MICROBLOG AN IMPROVED PARALLEL HYBRID SEED EXPANSION (PHSE) METHOD FOR DETECTING HIGHLY OVERLAPPING COMMUNITIES IN SOCIAL NETWORKS A SIMPLE INTEGRATION OF SOCIAL RELATIONSHIP AND TEXT DATA FOR IDENTIFYING POTENTIAL CUSTOMERS IN MICROBLOGGING AN ENERGY MODEL FOR NETWORK COMMUNITY STRUCTURE DETECTION A LABEL PROPAGATION-BASED ALGORITHM FOR COMMUNITY DISCOVERY IN ONLINE SOCIAL NETWORKS MINING TWITTER DATA FOR POTENTIAL DRUG EFFECTS SOCIAL-CORRELATION BASED MUTUAL REINFORCEMENT FOR SHORT TEXT CLASSIFICATION AND USER INTEREST TAGGING CLASSIFICATION GRAPH BASED FEATURE AUGMENTATION FOR SHORT AND SPARSE TEXT CLASSIFICATION EXPLORING DEEP BELIEF NETS TO DETECT AND CATEGORIZE CHINESE ENTITIES EXTRACTING NOVEL FEATURES FOR E-COMMERCE PAGE QUALITY CLASSIFICATION HIERARCHICAL CLASSIFICATION FOR SOLVING MULTI-CLASS PROBLEMS: A NEW APPROACH USING NAIVE BAYESIAN CLASSIFICATION PREDICTING FEATURES IN COMPLEX 3D SURFACES USING A POINT SERIES REPRESENTATION: A CASE STUDY IN SHEET METAL FORMING AUTOMATIC LABELING OF FORUMS USING BLOOM'S TAXONOMY CLASSIFYING PAPERS FROM DIFFERENT COMPUTER SCIENCE CONFERENCES VERTEX UNIQUE LABELLED SUBGRAPH MINING FOR VERTEX LABEL CLASSIFICATION A SIMILARITY-BASED GROUPING METHOD FOR MOLECULAR DOCKING IN DISTRIBUTED SYSTEM A BAG-OF-TONES MODEL WITH MFCC FEATURES FOR MUSICAL GENRE CLASSIFICATION THE GEPSO-CLASSIFICATION ALGORITHM DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. ADVANCED DATA MINING AND APPLICATIONS / : 2013 ABSTRACT / INHALTSTEXT THE TWO-VOLUME SET LNAI 8346 AND 8347 CONSTITUTES THE THOROUGHLY REFEREED PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON ADVANCED DATA MINING AND APPLICATIONS, ADMA 2013, HELD IN HANGZHOU, CHINA, IN DECEMBER 2013. THE 32 REGULAR PAPERS AND 64 SHORT PAPERS PRESENTED IN THESE TWO VOLUMES WERE CAREFULLY REVIEWED AND SELECTED FROM 222 SUBMISSIONS. THE PAPERS INCLUDED IN THESE TWO VOLUMES COVER THE FOLLOWING TOPICS: OPINION MINING, BEHAVIOR MINING, DATA STREAM MINING, SEQUENTIAL DATA MINING, WEB MINING, IMAGE MINING, TEXT MINING, SOCIAL NETWORK MINING, CLASSIFICATION, CLUSTERING, ASSOCIATION RULE MINING, PATTERN MINING, REGRESSION, PREDICATION, FEATURE EXTRACTION, IDENTIFICATION, PRIVACY PRESERVATION, APPLICATIONS, AND MACHINE LEARNING DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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series	Lecture Notes in Computer Science
series2	Lecture Notes in Computer Science Lecture Notes in Artificial Intelligence
spellingShingle	Advanced Data Mining and Applications 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : Proceedings, Part I Lecture Notes in Computer Science Computer science Data mining Information storage and retrieval Artificial intelligence Computer Science Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Information Storage and Retrieval Informatik Künstliche Intelligenz Data Mining (DE-588)4428654-5 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4428654-5 (DE-588)4120957-6 (DE-588)4193754-5 (DE-588)1071861417
title	Advanced Data Mining and Applications 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : Proceedings, Part I
title_auth	Advanced Data Mining and Applications 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : Proceedings, Part I
title_exact_search	Advanced Data Mining and Applications 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : Proceedings, Part I
title_full	Advanced Data Mining and Applications 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : Proceedings, Part I Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang (Eds.)
title_fullStr	Advanced Data Mining and Applications 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : Proceedings, Part I Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang (Eds.)
title_full_unstemmed	Advanced Data Mining and Applications 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : Proceedings, Part I Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang (Eds.)
title_short	Advanced Data Mining and Applications
title_sort	advanced data mining and applications 9th international conference adma 2013 hangzhou china december 14 16 2013 proceedings part i
title_sub	9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : Proceedings, Part I
topic	Computer science Data mining Information storage and retrieval Artificial intelligence Computer Science Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Information Storage and Retrieval Informatik Künstliche Intelligenz Data Mining (DE-588)4428654-5 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Computer science Data mining Information storage and retrieval Artificial intelligence Computer Science Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Information Storage and Retrieval Informatik Künstliche Intelligenz Data Mining Automatische Klassifikation Maschinelles Lernen Konferenzschrift 2013 Hangzhou
url	https://doi.org/10.1007/978-3-642-53914-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632584&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632584&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV014880109
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