Proceedings of the Fifth SIAM International Conference on Data Mining / edited by Hillol Kargupta [and others].

Author
SIAM International Conference on Data Mining (5th : 2005 : Newport Beach, Calif.) [Browse]
Format
Book
Language
English
Published/​Created
Philadelphia : Society for Industrial and Applied Mathematics, [2005], ©2005.
Description
xiii, 648 pages : illustrations ; 28 cm

Availability

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    Subject(s)
    Notes
    • "PR119"--Spine.
    • "Proceedings of the Fifth SIAM International Conference on Data Mining, Newport Beach, CA, April 21-23, 2005"--T.p. verso.
    Bibliographic references
    Includes bibliographical references and index.
    Contents
    • Computational developments of [psi]-learning / Sijin Liu, Xiaotong Shen and Wing Hung Wong
    • A random walks perspective on maximizing satisfaction and profit / Matthew Brand
    • Surveying data for patchy structure / Ronald K. Pearson
    • 2-dimensional singular value decomposition for 2D maps and images / Chris Ding and Jieping Ye
    • Summarizing and mining skewed data streams / Graham Cormode and S. Muthukrishnan
    • Online analysis of community evolution in data streams / Charu C. Aggarwal and Philip S. Yu
    • Mining frequent itemsets from data streams with a time-sensitive sliding window / Chih-Hsiang Lin, Ding-Ying Chiu, Yi-Hung Wu and Arbee L. P. Chen
    • On abnormality detection in spuriously populated data streams / Charu C. Aggarwal
    • Privacy-preserving classification of customer data without loss of accuracy / Zhiqiang Yang, Sheng Zhong and Rebecca N. Wright
    • Privacy-aware market basket data set generation : a feasible approach for inverse frequent set mining / Xintao Wu, Ying Wu, Yongge Wang and Yingjiu Li
    • On variable constraints in privacy preserving data mining / Charu C. Aggarwal and Philip S. Yu
    • Clustering with model-level constraints / David Gondek, Shivakumar Vaithyanathan and Ashutosh Garg
    • Clustering with constraints : feasibility issues and the k-means algorithm / Ian Davidson and S. S. Ravi
    • A cutting algorithm for the minimum sum-of-squared error clustering / Jiming Peng and Yu Xia
    • Dynamic classification of defect structures in molecular dynamics simulation data / Sameep Mehta, Steve Barr, Tat-Sang Choy, Hui Yang, Srinivasan Parthasarathy, Raghu Machiraju and John Wilkins
    • Striking two birds with one stone : simultaneous mining of positive and negative spatial patterns / Bavani Arunasaiam, Sanjay Chawla and Pei Sun
    • Finding young stellar populations in elliptical galaxies from independent components of optical spectra / Ata Kaban, Louisa A. Nolan and Somak Raychaudhury
    • Hybrid attribute reduction for classification based on a fuzzy rough set technique / Qinghua Hu, Daren Yu and Zongxia Xie
    • HARMONY : efficiently mining the best rules for classification / Jianyong Wang and George Karypis
    • On error correlation and accuracy of nearest neighbor ensemble classifiers / Carlotta Domeniconi and Bojun Yan
    • Lazy learning for classification based on query projections / Yiqiu Han and Wal Lam
    • Mining non-derivable association rules / Bart Goethals, Juho Muhonen and Hannu Tolvonen
    • Depth-first non-derivable itemset mining / Toon Calders and Bart Goethals
    • Exploiting relationships for domain-independent data cleaning / Dmitri V. Kalashnikov, Sharad Mehrotra and Zhaoqi Chen
    • A spectral clustering approach to finding communities in graphs / Scott White and Padhraic Smyth
    • Mining behavior graphs for "backtrace" of noncrashing bugs / Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawel Han and Philip S. Yu
    • Learning to refine ontology for a new Web site using a Bayesian approach / Tak-Lam Wong and Wai Lam
    • Exploiting parameter related domain knowledge for learning in graphical models / Radu S. Niculescu, Tom M. Mitchell and R. Bharat Rao
    • Exploiting geometry for support vector machine indexing / Navneet Panda and Edward Y. Chang
    • Parallel computation of RBF kernels for support vector classifiers / Shibin Qiu and Terran Lane
    • Loadstar : a load shedding scheme for classifying data streams / Yun Chi, Philip S. Yu, Haixun Wang and Richard R. Muntz
    • Topic-driven clustering for document datasets / Ying Zhao and George Karypis
    • Variational learning for noisy-OR component analysis / Tomas Singliar and Milos Hauskrecht
    • Summarizing sequential data with closed partial orders / Gemma Casas-Garriga
    • SUMSRM : a new statistic for the structural break detection in time series / Kwok Pan Pang and Kai Ming Ting
    • Markov models for identification of significant episodes / Robert Gwadera, Mikhail Atallah and Wojciech Szpankowski
    • Efficient mining of maximal sequential patterns using multiple samples / Congnan Luo and Soon M. Chung
    • Gaussian processes for active data mining of spatial aggregates / Naren Ramakrishnan, Chris Bailey-Kellogg, Satish Tadepaill and Varun N. Pandey
    • Correlation clustering for learning mixtures of canonical correlation models / Xiaoll Z. Fern, Carla E. Brodley and Mark A. Friedl
    • On periodicity detection and structural periodic similarity / Michall Vlachos, Philip Yu and Vittorio Casteill
    • Cross table cubing : mining iceberg cubes from data warehouses / Moonjung Cho, Jian Pei and David W. Cheung
    • Decision tree induction in high dimensional, hierarchically distributed databases / Amir Bar-Or, Assaf Schuster, Ran Wolff and Daniel Keren
    • Slope one predictors for online rating-based collaborative filtering / Daniel Lemire and Anna Maclachlan
    • Sparse Fisher discriminant analysis for computer aided detection / M. Murat Dundar, Glenn Fung, Jinbo Bi, Sandliya Sathyakama and Bharat Rao
    • Expanding the training data space using emerging patterns and genetic methods / Hamad Alhammady and Kotagiri Ramamohanarao
    • Making data mining models useful to model non-paying customers of exchange carriers / Wei Fan, Janak Mathurla and Chang-tien Lu
    • Matrix condition number prediction with SVM regression and feature selection / Shuting Xu and Jun Zhang
    • Cluster validity analysis of alternative results from multi-objective optimization / Yimin Liu, Tansel Ozyer, Reda Alhajj and Ken Barker
    • ClosedPROWL : efficient mining of closed frequent continuities by projected window list technology / Kuo-Yu Huang, Chia-Hui Chang and Kuo-Zui Lin
    • Three myths about dynamic time warping data mining / Chotirat Ann Ratanamahatana and Eamonn Keogh
    • PCA without eigenvalue calculations : a case study on face recognition / E. Kokiopoulou and Y. Saad
    • Mining top-K itemsets over a sliding window based on Zipfian distribution / Raymond Chi-Wing Wong and Ada Wai-Chee Fu
    • Hierarchical document classification using automatically generated hierarchy / Tao Li and Shenghuo Zhu
    • On clustering binary data / Tao Li and Shenghuo Zhu
    • Time-series bitmaps : a practical visualization tool for working with large time series databases / Nitin Kumar, Venkata Nishanth Lolla, Eamonn Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana and Li Wei
    • Pushing feature selection ahead of join / Rong She, Ke Wang, Yabo Xu and Philip S. Yu
    • Discarding insignificant rules during impact rule discovery in large, dense databases / Shiying Huang and Geoffrey I. Webb
    • SPID4.7 : discretization using successive pseudo deletion at maximum information gain boundary points / Somnath Pai and Himika Biswas
    • Iterative mining for rules with constrained antecedents / Zheng Sun, Philip S. Yu and Xiang-Yang Li
    • Influence in ratings-based recommender systems : an algorithm-independent approach / Al Mamunur Rashid, George Karypis and John Riedi
    • Mining unconnected patterns in workflows / Gianluigi Greco, Antonelia Guzzo, Giuseppe Manco and Domenico Sacca
    • The best nurturers in computer science research / M. Bharath Kumar and Y. N. Srikant
    • Knowledge discovery from heterogeneous dynamic systems using change-point correlations / Tsuyoshi Ide and Keisuke Inoue
    • Building decision trees on records linked through key references / Ke Wang, Yabo Xu, Philip S. Yu and Rong She
    • Efficient allocation of marketing resources using dynamic programming / Giuliano Tirenni, Abderrahim Labbi, Andre Elisseeff and Cesar Berrospi
    • Near-neighbor search in pattern distance spaces / Haixun Wang, Chang-Shing Perng and Philip S. Yu
    • An algorithm for lattice-structured subspace clusters / Halyun Bian and Raj Bhatnagar
    • CBS : a new classification method by using sequential patterns / Vincent S. M. Tseng and Chao-Hui Lee
    • Seqindex : indexing sequences by sequential pattern analysis / Hong Cheng, Xifeng Yan and Jiawei Han --
    • On the equivalence of nonnegative matrix factorization and spectral clustering / Chris Ding, Xiaofeng He and Horst D. Simon
    • Kronecker factorization for speeding up kernel machines / Gang Wu, Zhihua Zhang and Edward Chang
    • Symmetric statistical translation models for automatic image annotation / Feng Kang and Rong Jin
    • Correcting sampling bias in structural genomics through iterative selection of underrepresented targets / Kang Peng, Slobodan Vucetic and Zoran Obradovic
    • Statictical models for unequally spaced time series / Emre Erdogan, Sheng Ma, Alina Beygeizimer and Irina Rish
    • CLSI : a flexible approximation scheme from clustered term-document matrices / Dimitrios Zeimpekis and Efstratios Gallopoulos
    • WFIM : weighted frequent itemset mining with a weight range and a minimum weight / Unil Yun and John J. Leggett
    • Model-based clustering with probabilistic constraints / Martin H. C. Law, Alexander Topchy and Anil K. Jain.
    ISBN
    0898715938
    LCCN
    2005923615
    OCLC
    60811265
    RCP
    C - S
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