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Advanced data mining and applications : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : proceedings. Part II /

Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang (eds.).

Book Cover
Names: Motoda, Hiroshi, | Wang, Wei, | Yao, Min, | Zaïane, Osmar, | Cao, Longbing, | Wu, Zhaohui,
Published: Heidelberg : Springer, [2013]
Series: LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Lecture notes in computer science ; 8347.
Topics: Computer science - Congresses. | Data mining - Congresses. | Information storage and retrieval systems - Congresses. | Artificial intelligence - Congresses.
Genres: Electronic books. | Conference papers and proceedings.
Online Access: SpringerLink - Full text online
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245 10|aAdvanced data mining and applications :|b9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : proceedings.|nPart II /|cHiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang (eds.).
246 30|aADMA 2013
264 1|aHeidelberg :|bSpringer,|c[2013]
264 4|c©2013
300 |a1 online resource (xxi, 538 pages) :|billustrations.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
490 1 |aLecture notes in computer science. Lecture notes in artificial intelligence
490 1 |aLecture notes in computer science,|x1611-3349 ;|v8346-8347
490 1 |aLNCS sublibrary. SL 7, Artificial intelligence
504 |aIncludes bibliographical references and index.
505 00|tClustering.|tSemi-supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization /|rAmjad Mahmood, Tianrui Li, Yan Yang, Hongjun Wang --|tA Scalable Approach for General Correlation Clustering /|rYubo Wang, Linli Xu, Yucheng Chen, Hao Wang --|tA Fast Spectral Clustering Method Based on Growing Vector Quantization for Large Data Sets /|rXiujun Wang, Xiao Zheng, Feng Qin, Baohua Zhao --|tA Novel Deterministic Sampling Technique to Speedup Clustering Algorithms /|rSanguthevar Rajasekaran, Subrata Saha --|tSoftware Clustering Using Automated Feature Subset Selection /|rZubair Shah, Rashid Naseem, Mehmet A. Orgun, Abdun Mahmood, Sara Shahzad --|tThe Use of Transfer Algorithm for Clustering Categorical Data /|rZhengrong Xiang, Lichuan Ji --|teDARA: Ensembles DARA /|rChung Seng Kheau, Rayner Alfred, HuiKeng Lau --|tEfficient Mining Maximal Variant and Low Usage Rate Biclusters without Candidate Maintenance in Real Function-Resource Matrix: The DeCluster Algorithm /|rLihua Zhang, Miao Wang, Zhengjun Zhai, Guoqing Wang.
505 80|tAssociation Rule Mining.|tMEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining /|rPhilippe Fournier-Viger, Espérance Mwamikazi, Ted Gueniche, Usef Faghihi --|tPattern Mining.|tMining Frequent Patterns in Print Logs with Semantically Alternative Labels /|rXin Li, Lei Zhang, Enhong Chen, Yu Zong, Guandong Xu --|tMinimising K-Dominating Set in Arbitrary Network Graphs /|rGuangyuan Wang, Hua Wang, Xiaohui Tao, Ji Zhang, Jinhua Zhang --|tRegression.|tLogistic Regression Bias Correction for Large Scale Data with Rare Events /|rZhen Qiu, Hongyan Li, Hanchen Su, Gaoyan Ou, Tengjiao Wang --|tAn Automatical Moderating System for FML Using Hashing Regression /|rPeichao Zhang, Minyi Guo --|tBatch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model /|rGanping Li, Jun Zhao, Fuyang Zhang, Zhizhen Ni --|tPrediction.|tDeep Architecture for Traffic Flow Prediction /|rWenhao Huang, Haikun Hong, Man Li, Weisong Hu, Guojie Song, Kunqing Xie.
505 80|tCompact Prediction Tree: A Lossless Model for Accurate Sequence Prediction /|rTed Gueniche, Philippe Fournier-Viger, Vincent S. Tseng --|tGeneralization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias /|rOrlando P. Zacarias, Henrik Boström --|tProtein Interaction Hot Spots Prediction Using LS-SVM within the Bayesian Interpretation /|rJuhong Qi, Xiaolong Zhang, Bo Li --|tPredicting the Survival Status of Cancer Patients with Traditional Chinese Medicine Symptom Variation Using Logistic Regression Model /|rMin Wan, Liying Fang, Mingwei Yu, Wenshuai Cheng, Pu Wang --|tFeature Extraction.|tExploiting Multiple Features for Learning to Rank in Expert Finding /|rHai-Tao Zheng, Qi Li, Yong Jiang, Shu-Tao Xia, Lanshan Zhang --|tConvolution Neural Network for Relation Extraction /|rChunYang Liu, WenBo Sun, WenHan Chao, WanXiang Che --|tExtracting Fuzzy Rules from Hierarchical Heterogeneous Neural Networks for Cardiovascular Diseases Diagnosis /|rYuanLian Cui, MingChui Dong.
505 80|tkDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set /|rMd. Geaur Rahman, Md Zahidul Islam --|tIdentification.|tTraffic Session Identification Based on Statistical Language Model /|rXinyan Lou, Yang Liu, Xiaohui Yu --|tRole Identification Based on the Information Dependency Complexity /|rWeidong Zhao, Haitao Liu, Xi Liu --|tDetecting Professional Spam Reviewers /|rJunlong Huang, Tieyun Qian, Guoliang He, Ming Zhong, Qingxi Peng --|tChinese Comparative Sentence Identification Based on the Combination of Rules and Statistics /|rQuanchao Liu, Heyan Huang, Chen Zhang, Zhenzhao Chen, Jiajun Chen --|tPrivacy Preservation.|tUtility Enhancement for Privacy Preserving Health Data Publishing /|rLengdong Wu, Hua He, Osmar R. Zaïane --|tOptimizing Placement of Mix Zones to Preserve Users' Privacy for Continuous Query Services in Road Networks /|rKamenyi Domenic M., Yong Wang, Fengli Zhang, Yankson Gustav, Daniel Adu-Gyamfi ...
505 80|tApplications.|tComparison of Cutoff Strategies for Geometrical Features in Machine Learning-Based Scoring Functions /|rShirley W.I. Siu, Thomas K.F. Wong, Simon Fong --|tBichromatic Reverse Ranking Query in Two Dimensions /|rZhao Zhang, Qiangqiang Kang, Cheqing Jin, Aoying Zhou --|tPassive Aggressive Algorithm for Online Portfolio Selection with Piecewise Loss Function /|rLi Gao, Weiguo Zhang, Qiang Tang --|tMining Item Popularity for Recommender Systems /|rJilian Zhang, Xiaofeng Zhu, Xianxian Li, Shichao Zhang --|tExploring an Ichthyoplankton Database from a Freshwater Reservoir in Legal Amazon /|rMichel de A. Silva, Daniela Queiroz Trevisan, David N. Prata, Elineide E. Marques [and others] --|tA Pre-initialization Stage of Population-Based Bio-inspired Metaheuristics for Handling Expensive Optimization Problems /|rMuhammad Marwan Muhammad Fuad --|tA Hybrid-Sorting Semantic Matching Method /|rKan Li, Wensi Mu, Yong Luan, Shaohua An --|tImproving Few Occurrence Feature Performance in Distant Supervision for Relation Extraction /|rHui Zhang, Yuanhao Zhao.
505 80|tCluster Labeling Extraction and Ranking Feature Selection for High Quality XML Pseudo Relevance Feedback Fragments Set /|rMinjuan Zhong, Changxuan Wan, Dexi Liu, Shumei Liao, Siwen Luo --|tInformed Weighted Random Projection for Dimension Reduction /|rJaydeep Sen, Harish Karnick --|tProtocol Specification Inference Based on Keywords Identification /|rYong Wang, Nan Zhang, Yan-mei Wu, Bin-bin Su --|tAn Adaptive Collaborative Filtering Algorithm Based on Multiple Features /|rYan-Qiu Zhang, Hai-Tao Zheng, Lan-Shan Zhang --|tMachine Learning.|tEnsemble of Unsupervised and Supervised Models with Different Label Spaces /|rYueyun Jin, Weilin Zeng, Hankz Hankui Zhuo, Lei Li --|tCost-Sensitive Extreme Learning Machine /|rEnhui Zheng, Cong Zhang, Xueyi Liu, Huijuan Lu, Jian Sun --|tMulti-Objective Optimization for Overlapping Community Detection /|rJingfei Du, Jianyang Lai, Chuan Shi --|tEndmember Extraction by Exemplar Finder /|rYi Guo, Junbin Gao, Yanfeng Sun --|tEEG-Based User Authentication in Multilevel Security Systems /|rTien Pham, Wanli Ma, Dat Tran, Phuoc Nguyen, Dinh Phung --|tA New Fuzzy Extreme Learning Machine for Regression Problems with Outliers or Noises /|rEnhui Zheng, Jinyong Liu, Huijuan Lu, Ling Wang, Le Chen.
520 |aThe two-volume set LNCS 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 this volume 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.
546 |aEnglish.
650 0|aComputer science|vCongresses.
650 0|aData mining|vCongresses.
650 0|aInformation storage and retrieval systems|vCongresses.
650 0|aArtificial intelligence|vCongresses.
650 7|aArtificial intelligence.|2fast|0(OCoLC)fst00817247
650 7|aComputer science.|2fast|0(OCoLC)fst00872451
650 7|aData mining.|2fast|0(OCoLC)fst00887946
650 7|aInformation storage and retrieval systems.|2fast|0(OCoLC)fst00972781
655 4|aElectronic books.
655 7|aConference papers and proceedings.|2fast|0(OCoLC)fst01423772
700 1 |aMotoda, Hiroshi,|eeditor.
700 1 |aWang, Wei,|eeditor.
700 1 |aYao, Min,|eeditor.
700 1 |aZaïane, Osmar,|eeditor.
700 1 |aCao, Longbing,|d1969-|eeditor.
700 1 |aWu, Zhaohui,|d1966-|eeditor.
773 08|i(MP)|tAdvanced data mining and applications|w(NL-LeOCL)371090520|w(OCoLC)879217481|7nnam
776 08|iPrint version:|aADMA (Conference) (9th : 2013 : Hangzhou Shi, China).|tAdvanced data mining and applications.|dHeidelberg : Springer, [2013]|z9783642539138|w(OCoLC)872034198
830 0|aLNCS sublibrary.|nSL 7,|pArtificial intelligence.
830 0|aLecture notes in computer science.|pLecture notes in artificial intelligence.
830 0|aLecture notes in computer science ;|v8347.|x0302-9743
852 8 |beresour-nc|hOnline Resource|t1|zAccessible anywhere on campus or with UIUC NetID
856 40|3SpringerLink - Full text online|uhttp://www.library.illinois.edu/proxy/go.php?url=http://dx.doi.org/10.1007/978-3-642-53917-6
938 |aEBL - Ebook Library|bEBLB|nEBL3093495
938 |aYBP Library Services|bYANK|n11561275
994 |aC0|bUIU

Staff View for: Advanced data mining and applications :