Research Catalog

Title

KDD-2006 : proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : August 20-23, 2006, Philadelphia, PA, USA / edited by Lyle Ungar, general chair ; Mark Craven & Dimitrios Gunopulos, program chairs ; Tina Eliassi-Rad, proceedings chair ; sponsored by ACM Special Interest Group on Knowledge Discovery and Data Mining and ACM Special Interest Group on Management of Data.

Author

International Conference on Knowledge Discovery & Data Mining (12th : 2006 : Philadelphia, Pa.)

Publication

New York, NY : ACM Press, 2006.

Items in the Library & Off-site

Holdings

Details

Additional Authors

• Ungar, Lyle.
• Craven, Mark.
• Gunopulos, Dimitrios, 1967-
• Eliassi-Rad, Tina.
• Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining.
• Association for Computing Machinery. Special Interest Group on Management of Data.

Description

xxii, 962 pages : illustrations; 28 cm

Alternative Title

• Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
• ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
• KDD '06

Subject

• Data mining > Congresses
• Database management > Congresses

Note

• "ACM order number 618060"--P. ii.

Bibliography (note)

• Includes bibliographical references and author index.

Contents

• Self-organizing wireless sensor networks in action / J. A. Stankovic -- New cached-sufficient statistics algorithms for quickly answering statistical questions / A. Moore -- Next frontier / R. Agrawal -- Deriving quantitative models for correlation clusters / E. Achtert, C. Bohm, H.-P. Kriegel, P. Kroger and A. Zimek -- Learning to rank networked entities / A. Agarwal, S. Chakrabarti and S. Aggarwal -- Spatial scan statistics : approximations and performance study / D. Agarwal, A. McGregor, J. M. Phillips, S. Venkatasubramanian and Z. Zhu -- Global distance-based segmentation of trajectories / A. Anagnostopoulos, M. Vlachos, M. Hadjieleftheriou, E. Keogh and P. S. Yu -- Group formation in large social networks : membership, growth, and evolution / L. Backstrom, D. Huttenlocher, J. Kleinberg and X. Lan -- Detecting outliers using transduction and statistical testing / D. Barbara, C. Domeniconi and J. P. Rogers -- Robust information-theoretic clustering / C. Bohm, C. Faloutsos, J.-Y. Pan and C. Plant -- Efficient anonymity-preserving data collection / J. Brickel and V. Shamtikov -- Out-of-core frequent pattern mining on a commodity PC / G. Buehrer, S. Parthasarathy and A. Ghoting -- Mining rank-correlated sets of numerical attributes / T. Calders, B. Goethals and S. Jaroszewicz -- NeMoFinder : dissecting genome-wide protein-protein interactions with meso-scale network motifs / J. Chen, W. Hsu, M. L. Lee and S.-K. Ng -- Estimating the global PageRank of Web communities / J. V. Davis and I. S. Dhillon -- Orthogonal nonnegative matrix tri-factorizations for clustering / C. Ding, T. Li, W. Peng and H. Park -- A general framework for accurate and fast regression by data summarization in random decision trees / W. Fan, J. McCloskey and P. S. Yu -- ReverseTesting : an efficient framework to select amongst classifiers under sample selection bias / W. Fan and I. Davidson -- Quantifying trends accurately despite classifier error and class imbalance / G. Forman -- Assessing data mining results via swap randomization / A. Gionis, H. Mannila, T. Mielikainen and P. Tsaparas -- A new efficient probabilistic model for mining labeled ordered trees / K. Hashimoto, K. F. Aoki-Kinoshita, N. Ueda, M. Kanchisa and H. Mamitsuka -- Learning the unified kernel machines for classification / S. C. H. Hoi, M. R. Lyu and E. Y. Chang -- Frequent subgraph mining in outerplanar graphs / T. Horvath, J. Ramon and S. Wrobel -- Adaptive event detection with time-varying Poisson processes / A. Ihler, J. Hutchins and P. Smyth -- Training linear SVMs in linear time / T. Joachims -- Mining quantitative correlated patterns using an information-theoretic approach / Y. Ke, J. Cheng and W. Ng -- Maximally informative k-itemsets and their efficient discovery / A. J. Knobbe and E. K. Y. Ho -- Measuring and extracting proximity in networks / Y. Koren, S. C. North and C. Volinsky -- Hierarchical topic segmentation of Websites / R. Kumar, K. Punera and A. Tomkins -- New EM derived from Kullback-Leibler divergence / L. J. Latecki, M. Sobel and R. Lakaemper -- Workload-aware anonymization / K. LeFerve, D. J. DeWitt and R. Ramakrishnan -- Very sparse random projections / P. Li, T. J. Hastie and K. W. Church -- Rule interestingness analysis using OLAP operations / B. Liu, K. Zhao, J. Benkler and W. Xiao -- Fast mining of high dimensional expressive contrast patterns using zero-suppressed binary decision diagrams / E. Loekito and J. Bailey -- Unsupervised learning on K-partite graphs / B. Long, X. Wu, Z. Zhang and P. S. Yu -- Tensor-CUR decompositions for tensor-based data / M. W. Mahoney, M. Maggioni and P. Drineas -- Generating semantic annotations for frequent patterns with context analysis / Q. Mei, D. Xin, H. Cheng, J. Han and C. X. Zhai -- Aggregating time partitions / T. Mielikainen, E. Terzi and P. Tsaparas -- Using structure indices for efficient approximation of network properties / M. J. Rattigan, M. Maier and D. Jensen -- Learning sparse metrics via linear programming / R. Rosales and G. Fung -- Beyond streams and graphs : dynamic tensor analysis / J. Sun, D. Tao and C. Faloutsos -- Acclimatizing taxonomic semantics for hierarchical content classification / L. Tang, J. Zhang and H. Liu -- Mining distance-based outliers from large databases in any metric space / Y. Tao, X. Xiao and S. Zhou -- Center-piece subgraphs : problem definition and fast solutions / H. Tong and C. Faloutsos -- Anonymizing sequential releases / K. Wang and B. C. M. Fung -- Topics over time : a non-Markov continuous-time model of topical trends / X. Wang and A. McCallum -- Discovering significant rules / G. I. Webb -- Extracting redundancy-aware top-K patterns / D. Xin, H. Cheng, X. Yan and J. Han -- Regularized discriminant analysis for high dimensional, low sample size data / J. Ye and T. Wang -- Supervised probabilistic principal component analysis / S. Yu, K. Yu, V. Tresp, H.-P. Kriegel and M. Wu -- Extracting key-substring-group features for text classification / D. Zhang and W. S. Lee -- Event detection from evolution of click-through data / Q. Zhao, T.-Y. Liu, S. S. Bhowmick and W.-Y. Ma -- Simultaneous record detection and attribute labeling in Web data extraction / J. Zhu, Z. Nie, J.-R. Wen, B. Zhang and W.-Y. Ma -- Outlier detection by active learning / N. Abe, B. Zadrozny and J. Langford -- On privacy preservation against adversarial data mining / C. C. Aggarwal, J. Pei and B. Zhang -- CCCS : a top-down associative classifier for imbalanced class distribution / B. Arunasalam and S. Chawla -- A framework for analysis of dynamic social networks / T. Y. Berger-Wolf and J. Saia -- Query-time entity resolution / I. Bhattacharya, L. Getoor and L. Licamele -- Model compression / C. Bucila, R. Caruana and A. Niculescu-Mizil -- Classification features for attack detection in collaborative recommender systems / R. Burke, B. Mobasher, C. Williams and R. Bhaumik -- Single-pass online learning : performance, voting schemes and online feature selection / V. R. Carvalho and W. W. Cohen -- Evolutionary clustering / D. Chakrabarti, R. Kumar and A. Tomkins -- Algorithms for discovering bucket orders from data / A. Gionis, H. Mannila, K. Puolamaki and A. Ukkonen -- Mining relational data through correlation-based multiple view validation / H. Guo and H. L. Viktor -- Recommendation method for extending subscription periods / T. Iwata, K. Saito and T. Yamada -- Dynamic, real-time forecasting of online auctions via functional models / W. Jank, G. Shmueli and S. Wang -- Polynomial association rules with applications to logistic regression / S. Jaroszewicz -- CFI-stream : mining closed frequent itemsets in data streams / N. Jiang and L. Gruenwald -- Reducing the human overhead in text categorization / A. C. Konig and E. Brill -- Algorithms for storytelling / D. Kumar, N. Ramakrishnan, R. F. Helm and M. Potts -- Structure and evolution of online social networks / R. Kumar, J. Novak and A. Tomkins -- Cryptographically private support vector machines / S. Laur, H. Lipmaa and T. Mielikainen -- Bias and controversy : beyond the statistical deviation / H. W. Lauw, E.-P. Lim and K. Wang -- Sampling from large graphs / J. Leskovec and C. Faloutsos -- Clustering pair-wise dissimilarity data into partially ordered sets / J. Liu, W. Wang, L. McMillan and J. Prins -- Visual data mining using principled projection algorithms and information visualization techniques / D. M. Maniyar and I. T. Nabney -- A mixture model for contextual text mining / Q. Mei and C. X. Zhai -- A new multi-view regression approach with an application to customer wallet estimation / S. Merugu, S. Rosset and C. Perlich -- Efficient multidimensional data representations based on multiple correspondence analysis / R. B. Messaoud, O. Boussaid and S. L. Rabaseda -- Algorithms for time series knowledge mining / F. Moerchen --
• Clustering based large margin classification : a scalable approach using SOCP formulation / J. S. Nath, C. Bhattacharyya and M. N. Murty -- Statistical entity-topic models / D. Newman, C. Chemudugunta, P. Smyth and M. Steyvers -- Mining for misconfigured machines in grid systems / N. Palatin, A. Leizarowitz, A. Schuster and R. Wolff -- Automatic mining of fruit fly embryo images / J.-Y. Pan, A. G. R. Balan, E. P. Xing, A. J. M. Traina and C. Faloutsos -- Naive filterbots for robust cold-start recommendations / S.-T. Park, D. Pennock, O. Madani, N. Good and D. DeCoste -- MONIC - modeling and monitoring cluster transitions / M. Spiliopoulou, I. Ntoutsi, Y. Theodoridis and R. Schult -- Combining linguistic and statistical analysis to extract relations from Web documents / F. M. Suchanek, G. Ifrim and G. Weikum -- Mining long-term search history to improve search accuracy / B. Tan, X. Shen and C. X. Zhai -- Efficient kernel feature extraction for massive data sets / I. W. Tsang, A. Koesor and J. T. Kwok -- Summarizing itemset patterns using probabilistic models / C. Wang and S. Parthasarathy -- Suppressing model overfitting in mining concept-drifting data streams / H. Wang, J. Yin, J. Pei, P. S. Yu and J. X. Yu -- A large-scale analysis of query logs for assessing personalization opportunities / S. Wedig and O. Madani -- Semi-supervised time series classification / L. Wei and E. Koegh -- (a, k)-anonymity : an enhanced k-anonymity model for privacy preserving data publishing / R. C.-W. Wong, J. Li, A. W.-C. Fu and K. Wang -- Incremental approximate matrix factorization for speeding up support vector machines / G. Wu, E. Chang, Y.-K. Chen and C. Hughes -- Outlier detection by sampling with accuracy guarantees / M. Wu and C. Jermaine -- Discovering interesting patterns through user's interactive feedback / D. Xin, X. Shen, Q. Mei and J. Han -- K-means clustering versus validation measures : a data distribution perspective / H. Xiong, J. Wu and J. Chen -- Utility-based anonymization using local recoding / J. Xu, W. Wang, J. Pei, X. Wang, B. Shi and A. W.-C. Fu -- Integration of semantic-based bipartite graph representation and mutual refinement strategy for biomedical literature clustering / I. Yoo, X. Hu and I.-Y. Song -- Coherent closed quasi-clique discovery from large dense graph databases / Z. Zeng, J. Wang, L. Zhou and G. Karypis -- Mining progressive confident rules / M. Zhang, W. Hsu and M. L. Lee -- Attack detection in time series for recommender systems / S. Zhang, A. Chakrabarti, J. Ford and F. Makedon -- Identifying bringing rules between conceptual clusters / S. Zhang, F. Chen, X. Wu and C. Zhang -- Linear prediction models with graph regularization for Web-page categorization / T. Zhang, A. Popescul and B. Dom -- BLOSOM : a framework for mining arbitrary boolean expressions / L. Zhao, M. J. Zaki and N. Ramakrishnan -- Introducing perpetual analytics / J. Jonas -- Capital one's statistical problems : our top ten list / W. Kahn -- Information extraction, data mining and joint inference / A. McCallum -- Data mining challenges in the automotive domain / M. Cavaretta -- Computer aided detection via asymmetric cascade of sparse hyperplane classifiers / J. Bi, S. Periaswamy, K. Okada, T. Kubota, G. Fung, M. Salganicoff and R. B. Rao -- Onboard classifiers for science event detection on a remote sensing spacecraft / R. Castano, N. Tang, T. Doggett, S. Chien, D. Mazzoni, R. Greeley, B. Cichy and A. Davies -- Pragmatic text mining : minimizing human effort to quantify many issues in call logs / G. Forman, E. Kirshenbaum and J. Suermondt -- Mining for proposal reviewers : lessons learned at the national science foundation / S. Hettich and M. J. Pazzani -- GPLAG : detection of software plagiarism by program dependence graph analysis / C. Liu, C. Chen, J. Han and P. S. Yu -- Understandable models of music collections based on exhaustive feature generation with temporal statistics / F. Moerchen, I. Mierswa and A. Ultsch -- Opportunity map : identifying causes of failure - a deployed data mining system / K. Zhao, B. Liu, J. Benkler and W. Xiao -- Identifying "best bet" Web search results by mining past user behavior / E. Agichtein and Z. Zheng -- Mining citizen science data to predict prevalence of wild bird species / R. Caruana, M. Elhawary, A. Munson, M. Riedewald, D. Sorokina, D. Fink, W. M. Hochachka and S. Kelling -- A component-based framework for knowledge discovery in bionformatics / J. Etienne, B. Wachmann and L. Zhang -- Discovering significant OPSM subspace clusters in massive gene expression data / B. J. Gao, O. L. Griffith, M. Ester and S. J. M. Jones -- Maximum profit mining and its application in software development / C. X. Ling, V. S. Sheng, T. Bruckhaus and N. H. Madhavji -- YALE : rapid prototyping for complex data mining tasks / I. Mierswa, M. Wurst, R. Klinkenberg, M. Scholz and T. Euler -- Camouflaged fraud detection in domains with complex relationships / S. Virdhagriswaran and G. Dakin -- Beyond classification and ranking : constrained optimization of the ROI / L. Yan and P. Baldasare -- Is there a grand challenge or X-prize for data mining? / G. Piatetsky-Shapiro, C. Djeraba, L. Getoor, R. Grossman, R. Feldman and M. Zaki.

ISBN

• 1595933395
• 9781595933393

LCCN

2006299429

OCLC

• ocm74713717
• SCSB-5304174

Owning Institutions

Columbia University Libraries