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LEADER 00000cam  2200793Ii 4500 
001    822995935 
003    OCoLC 
005    20181101045403.4 
006    m     o  d         
007    cr cnu---unuuu 
008    121228s2012    gw a    ob    101 0 eng d 
019    825106820 
020    9783642355271|q(electronic bk.) 
020    3642355277|q(electronic bk.) 
020    3642355269|q(print) 
020    9783642355264|q(print) 
020    |z9783642355264 
024 7  10.1007/978-3-642-35527-1|2doi 
035    (OCoLC)822995935|z(OCoLC)825106820 
040    GW5XE|beng|epn|erda|cGW5XE|dC$Q|dGZM|dI9W|dYDXCP|dCOO|dZMC
       |dNLGGC|dOCLCO|dNUI|dE7B|dOHI|dOCLCA|dOCLCF|dBEDGE|dOCLCQ
       |dOCLCO|dOCL|dOCLCO|dOCLCQ|dEBLCP|dESU|dIOG|dNJR|dBUF|dTFW
       |dU3W 
049    MAIN 
050  4 QA76.9.D343|bA36 2012 
082 04 006.3/12|223 
111 2  ADMA (Conference)|n(8th :|d2012 :|cNanjing, Jiangsu Sheng,
       China)|0http://id.loc.gov/authorities/names/nb2013006077 
245 10 Advanced data mining and applications :|b8th International
       Conference, ADMA 2012, Nanjing, China, December 15-18, 
       2012 : proceedings /|cShuigeng Zhou, Songmao Zhang, George
       Karypis (eds.). 
246 30 ADMA 2012 
264  1 Berlin ;|aNew York :|bSpringer,|c2012. 
300    1 online resource (xviii, 795 pages) :|billustrations. 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc|0http://rdaregistry.info/termList/
       RDAColourContent/1003 
347    text file|2rdaft|0http://rdaregistry.info/termList/
       fileType/1002 
490 1  Lecture notes in computer science,|x1611-3349 ;|v7713.
       |aLecture notes in artificial intelligence 
490 1  LNCS sublibrary. SL 7, Artificial intelligence 
504    Includes bibliographical references and index. 
505 00 |tSocial Media Mining --|tLeave or Stay: The Departure 
       Dynamics of Wikipedia Editors --|tCross-Modal Information 
       Retrieval -- A Case Study on Chinese Wikipedia --
       |tUnsupervised Learning Chinese Sentiment Lexicon from 
       Massive Microblog Data --|tCommunity Extraction Based on 
       Topic-Driven-Model for Clustering Users Tweets --
       |tClustering --|tConstrained Spectral Clustering Using 
       Absorbing Markov Chains --|tInducing Taxonomy from Tags: 
       An Agglomerative Hierarchical Clustering Framework --
       |tPersonalized Clustering for Social Image Search Results 
       Based on Integration of Multiple Features --|tQuery 
       Directed Web Page Clustering Using Suffix Tree and 
       Wikipedia Links --|tMining Fuzzy Moving Object Clusters --
       |tExemplars-Constraints for Semi-supervised Clustering --
       |tCustomer Segmentation for Power Enterprise Based on 
       Enhanced-FCM Algorithm --|tA MapReduce-Based Parallel 
       Clustering Algorithm for Large Protein-Protein Interaction
       Networks --|tMachine Learning: Algorithms and 
       Applications. 
505 80 |tA New Manifold Learning Algorithm Based on Incremental 
       Spectral Decomposition --|tSparse Boosting with 
       Correlation Based Penalty --|tLearning from Multiple Naive
       Annotators --|tQuery by Committee in a Heterogeneous 
       Environment --|tVariational Learning of Dirichlet Process 
       Mixtures of Generalized Dirichlet Distributions and Its 
       Applications --|tA New Multi-label Learning Algorithm 
       Using Shelly Neighbors --|tKernel Mean Matching with a 
       Large Margin --|tProperly and Automatically Naming Java 
       Methods: A Machine Learning Based Approach --
       |tClassification --|tA Bag Reconstruction Method for 
       Multiple Instance Classification and Group Record Linkage 
       --|tSemi-naive Bayesian Classification by Weighted Kernel 
       Density Estimation --|tSpectral Clustering-Based Semi-
       supervised Sentiment Classification --|tAutomatic 
       Filtering of Valuable Features for Text Categorization --
       |tA Feature Selection Method for Improved Document 
       Classification --|tAn Ensemble Approach to Multi-label 
       Classification of Textual Data. 
505 80 |tHierarchical Text Classification for News Articles Based
       -on Named Entities --|tDocument-Level Sentiment 
       Classification Based on Behavior-Knowledge Space Method --
       |tPrediction, Regression and Recognition --|tNAP-SC: A 
       Neural Approach for Prediction over Sparse Cubes --|tSemi-
       supervised Gaussian Process Regression and Its Feedback 
       Design --|tA Graph-Based Churn Prediction Model for Mobile
       Telecom Networks --|tFacial Action Unit and Emotion 
       Recognition with Head Pose Variations --|tUse of 
       Supervised Learning to Predict Directionality of Links in 
       a Network --|tPredicting Driving Direction with Weighted 
       Markov Model --|tPattern Mining, Semantic Label 
       Identification and Movement Prediction Using Mobile Phone 
       Data --|tUsing Partially-Ordered Sequential Rules to 
       Generate More Accurate Sequence Prediction --
       |tOptimization and Approximation --|tParticle Swarm 
       Optimization of Information-Content Weighting of Symbolic 
       Aggregate Approximation --|tFast Nystrom for Low Rank 
       Matrix Approximation --|tAn Enhanced Class-Attribute 
       Interdependence Maximization Discretization Algorithm. 
505 80 |tTowards Normalizing the Edit Distance Using a Genetic 
       Algorithms-Based Scheme --|tMining Time Series and 
       Streaming Data --|tPCG: An Efficient Method for Composite 
       Pattern Matching over Data Streams --|tVisual 
       Fingerprinting: A New Visual Mining Approach for Large-
       Scale Spatio-temporal Evolving Data --|tStock Trend 
       Extraction via Matrix Factorization --|tStock Price 
       Forecasting with Support Vector Machines Based on Web 
       Financial Information Sentiment Analysis --|tWeb Mining 
       and Semantic Analysis --|tAutomated Web Data Mining Using 
       Semantic Analysis --|tGeospatial Data Mining on the Web: 
       Discovering Locations of Emergency Service Facilities --
       |tSummarizing Semantic Associations Based on Focused 
       Association Graph --|tNews Sentiment Analysis Based on 
       Cross-Domain Sentiment Word Lists and Content Classifiers 
       --|tData Mining Applications --|tIntegrating Data Mining 
       and Optimization Techniques on Surgery Scheduling --
       |tUsing Data Mining for Static Code Analysis of C --
       |tFraud Detection in B2B Platforms Using Data Mining 
       Techniques. 
505 80 |tEfficiently Identifying Duplicated Chinese Company Names
       in Large-Scale Registration Database --|tSearch and 
       Retrieval --|tKeyword Graph: Answering Keyword Search over
       Large Graphs --|tMedical Image Retrieval Method Based on 
       Relevance Feedback --|tPersonalized Diversity Search Based
       on User's Social Relationships --|tInformation 
       Recommendation and Hiding --|tTowards a Tricksy Group 
       Shilling Attack Model against Recommender Systems --
       |tTopic-Centric Recommender Systems for Bibliographic 
       Datasets --|tCombining Spatial Cloaking and Dummy 
       Generation for Location Privacy Preserving --|tOutlier 
       Detection --|tModeling Outlier Score Distributions --|tA 
       Hybrid Anomaly Detection Framework in Cloud Computing 
       Using One-Class and Two-Class Support Vector Machines --
       |tTopic Modeling --|tResidual Belief Propagation for Topic
       Modeling --|tThe Author-Topic-Community Model: A 
       Generative Model Relating Authors' Interests and Their 
       Community Structure --|tData Cube Computing --
       |tConstrained Closed Non Derivable Data Cubes --|tVS-Cube:
       Analyzing Variations of Multi-dimensional Patterns over 
       Data Streams. 
520    This book constitutes the refereed proceedings of the 8th 
       International Conference on Advanced Data Mining and 
       Applications, ADMA 2012, held in Nanjing, China, in 
       December 2012. The 32 regular papers and 32 short papers 
       presented in this volume were carefully reviewed and 
       selected from 168 submissions. They are organized in 
       topical sections named: social media mining; clustering; 
       machine learning: algorithms and applications; 
       classification; prediction, regression and recognition; 
       optimization and approximation; mining time series and 
       streaming data; Web mining and semantic analysis; data 
       mining applications; search and retrieval; information 
       recommendation and hiding; outlier detection; topic 
       modeling; and data cube computing. 
588 0  Online resource; title from PDF title page (SpringerLink, 
       viewed Jan. 22, 2013). 
650  0 Data mining|vCongresses.|0http://id.loc.gov/authorities/
       subjects/sh2008102035 
650  0 Computer algorithms|vCongresses.|0http://id.loc.gov/
       authorities/subjects/sh2008101223 
650  0 Cluster analysis|vCongresses.|0http://id.loc.gov/
       authorities/subjects/sh2009120375 
653  4 Computer science. 
653  4 Computer software. 
653  4 Database management. 
653  4 Data mining. 
653  4 Information storage and retrieval systems. 
653  4 Artificial intelligence. 
653  4 Information Systems Applications (incl. Internet) 
655  4 Electronic books. 
655  7 Conference papers and proceedings.|2fast|0http://
       id.worldcat.org/fast/1423772 
655  7 Computer software.|2lcgft 
655  7 Conference papers and proceedings.|2lcgft|0http://
       id.loc.gov/authorities/genreForms/gf2014026068 
700 1  Zhou, Shuigeng.|0http://id.loc.gov/authorities/names/
       no2008136372 
700 1  Zhang, Songmao.|0http://id.loc.gov/authorities/names/
       nb2002017570 
700 1  Karypis, G.|q(George)|0http://id.loc.gov/authorities/names
       /no00089148 
776 08 |iPrint version:|aADMA (Conference) (8th : 2012 : Nanjing,
       Jiangsu Sheng, China).|tAdvanced data mining and 
       applications.|dBerlin ; New York : Springer, 2012|w(DLC)  
       2012953579 
830  0 Lecture notes in computer science ;|0http://id.loc.gov/
       authorities/names/n42015162|v7713.|x0302-9743 
830  0 Lecture notes in computer science.|pLecture notes in 
       artificial intelligence.|0http://id.loc.gov/authorities/
       names/n86736436 
830  0 LNCS sublibrary.|nSL 7,|pArtificial intelligence.|0http://
       id.loc.gov/authorities/names/n2008077786 
990    SpringerLink|bSpringer English/International eBooks 2012 -
       Full Set|c2018-10-31|yNew collection 
       springerlink.ebooks2012|5OH1 
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