Research Catalog

KDD-2006 : proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : August 20-23, 2006, Philadelphia, PA, USA

Title
  1. 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.
Published by
  1. New York, NY : ACM Press, 2006.
Author
  1. International Conference on Knowledge Discovery & Data Mining (12th : 2006 : Philadelphia, Pa.)

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Details

Additional authors
  1. Ungar, Lyle.
  2. Craven, Mark.
  3. Gunopulos, Dimitrios, 1967-
  4. Eliassi-Rad, Tina.
  5. Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining.
  6. Association for Computing Machinery. Special Interest Group on Management of Data.
Description
  1. xxii, 962 pages : illustrations; 28 cm
Alternative title
  1. Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  2. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  3. KDD '06
Subject
  1. Data mining > Congresses
  2. Database management > Congresses
Contents
  1. 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 --
  2. 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.
Owning institution
  1. Columbia University Libraries
Note
  1. "ACM order number 618060"--P. ii.
Bibliography (note)
  1. Includes bibliographical references and author index.