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タグ: kdd [92 articles]

Recent papers classified by the tag kdd.
  • Data mining and knowledge discovery 1996 to 2005: overcoming the hype and moving from “university” to “business” and “analytics”
    Data Mining and Knowledge Discovery, Vol. 15, No. 1. (2007), pp. 99-105.
    posted to kdd by yangxian on 2008-01-17 12:30:24 as *** along with 4 people imrchen chelsea-chelsea ket herjendra
  • Background and overview for KDD Cup 2002 task 1: information extraction from biomedical articles
    SIGKDD Explor. Newsl., Vol. 4, No. 2. (December 2002), pp. 87-89.
    by Alexander Yeh, Lynette Hirschman, Alexander Morgan
  • A survey on wavelet applications in data mining
    SIGKDD Explor. Newsl., Vol. 4, No. 2. (December 2002), pp. 49-68.
    by Tao Li, Qi Li, Shenghuo Zhu, Mitsunori Ogihara
  • Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs
    (2004), pp. 334-343.
    by Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
    posted to kdd by sunandap on 2007-08-07 02:32:26 as ***** along with 1 person meerkat
  • Intelligent Data Analysis
    (15 April 2003)
    by Michael R Berthold, David J Hand
  • Introduction to Machine Learning (Adaptive Computation and Machine Learning)
    (01 October 2004)
    by Ethem Alpaydin
  • Data Mining.
    (01 January 2001)
    by Ian H Witten, Frank Eibe
  • Knowledge Discovery in Databases : Techniken und Anwendungen
    (27 September 2000)
    by Martin Ester, Jörg Sander
    posted to datamining kdd ml by sb-3000 on 2005-10-04 15:45:49 as read along with 1 person matjes
  • Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
    (11 October 1999)
    by Ian H Witten, Eibe Frank
  • KDD CUP-2005 report: facing a great challenge
    SIGKDD Explor. Newsl., Vol. 7, No. 2. (December 2005), pp. 91-99.
    by Ying Li, Zijian Zheng, Honghua Dai
    posted to 2005 analysis categorization cup kdd log query by pprett on 2008-02-14 11:18:55 as read
  • Knowledge discovery in databases - an overview
    Ai Magazine, Vol. 13 (1992), pp. 57-70.
    by WJ Frawley, Piatetsky G Shapiro, CJ Matheus
  • From data mining to knowledge discovery: an overview
    (1996), pp. 1-34.
    by Usama M Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
  • Active exploration for learning rankings from clickthrough data
    (2007), pp. 570-579.
    by Filip Radlinski, Thorsten Joachims
    posted to kdd web-mining by imrchen on 2007-12-25 11:40:56 as ***
  • The KDD process for extracting useful knowledge from volumes of data
    Commun. ACM, Vol. 39, No. 11. (November 1996), pp. 27-34.
    by Usama Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth
    posted to kdd by imrchen on 2007-11-09 01:14:04 as read
  • What makes patterns interesting in knowledge discovery systems
    Transactions on Knowledge and Data Engineering, Vol. 8, No. 6. (1996), pp. 970-974.
    posted to data-mining kdd by imrchen on 2007-12-24 10:19:24 as read along with 1 person votis
  • Advances in Knowledge Discovery and Data Mining
    (01 February 1996)
    by Usama M Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth, Ramasamy Uthurusamy
  • Introduction to Data Mining
    (02 May 2005)
    by Pang-Ning Tan, Michael Steinbach, Vipin Kumar
  • ANF: a fast and scalable tool for data mining in massive graphs
    (2002), pp. 81-90.
    by Christopher R Palmer, Phillip B Gibbons, Christos Faloutsos
    posted to kdd graph algorithms by AbnerCYH to the group CSBBGraphTheory on 2007-07-29 16:56:31 as ** along with 4 people jrw ChaTo ima koles
  • Graphical Models: Methods for Data Analysis and Mining
    (15 March 2002)
    by Christian Borgelt, Rudolf Kruse
    posted to math kdd graph by AbnerCYH to the group CSBBGraphTheory on 2007-08-09 15:47:55 as ** along with 2 people quianominorleo wnpx
  • Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
    (08 June 2005)
    by Ian H Witten, Eibe Frank
  • Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
    (06 September 2000)
    by Jiawei Han, Micheline Kamber
  • The Elements of Statistical Learning
    (09 August 2001)
  • Out-of-core coherent closed quasi-clique mining from large dense graph databases
    ACM Trans. Database Syst., Vol. 32, No. 2. (June 2007)
    by Zhiping Zeng, Jianyong Wang, Lizhu Zhou, George Karypis
    posted to kdd graph algorithms by AbnerCYH to the group CSBBGraphTheory on 2007-08-09 08:47:20 as ** along with 1 person bigbossman
  • Data Mining: Introductory and Advanced Topics
    (22 August 2002)
    by Margaret H Dunham
    posted to kdd by AbnerCYH to the group CSBBGraphTheory on 2007-08-09 15:47:40 as ** along with 2 people and 1 group kklo cgarboni ADMiRes
  • Graph evolution: Densification and shrinking diameters
    ACM Trans. Knowl. Discov. Data, Vol. 1, No. 1. (March 2007)
    by Jure Leskovec, Jon Kleinberg, Christos Faloutsos
  • Correlation search in graph databases
    (2007), pp. 390-399.
    by Yiping Ke, James Cheng, Wilfred Ng
  • Combining Pattern Classifiers: Methods and Algorithms
    (01 July 2004)
    by Ludmila I Kuncheva
  • Graph mining: Laws, generators, and algorithms
    ACM Comput. Surv., Vol. 38, No. 1. (2006)
    by Deepayan Chakrabarti, Christos Faloutsos
  • Data Preparation for Data Mining (The Morgan Kaufmann Series in Data Management Systems)
    (15 March 1999)
    by Dorian Pyle
    posted to kdd by AbnerCYH to the group CSBBGraphTheory on 2007-08-09 15:45:48 as **
  • Mining the space of graph properties
    (2004), pp. 187-196.
    by Glen Jeh, Jennifer Widom
    posted to kdd graph algorithms by AbnerCYH to the group CSBBGraphTheory on 2007-08-09 08:46:32 as ** along with 1 person and 1 group xiaoyan2006 VT_DLRL
  • Using structure indices for efficient approximation of network properties
    (2006), pp. 357-366.
    by Matthew J Rattigan, Marc Maier, David Jensen
  • A fast k-means implementation using coresets
    (2006), pp. 135-143.
    by Gereon Frahling, Christian Sohler
    posted to clustering kdd kmeans silhouette_coefficient by fcamel on 2007-09-07 14:53:47 as **
  • Closing the Loop: An Agenda- and Justification-Based Framework for Selecting the Next Discovery Task to Perform
    (2001), pp. 385-392.
    by Gary Livingston, John M Rosenberg, Bruce G Buchanan
    posted to discovery hamb induction kdd learning rl rule by EWilliams on 2007-10-16 19:57:33 as **
  • Closing the Loop: Heuristics for Autonomous Discovery
    (2001), pp. 393-400.
    by Gary Livingston, John M Rosenberg, Bruce G Buchanan
    posted to discovery hamb heuristics induction kdd learning rl rule by EWilliams on 2007-10-16 19:56:46 as **
  • A Survey of Methods for Scaling Up Inductive Algorithms
    Data Mining and Knowledge Discovery, Vol. 3, No. 2. (1999), pp. 131-169.
    by Foster J Provost, Venkateswarlu Kolluri
    posted to algorithm induction kdd learning rl rule scale by EWilliams on 2007-10-16 19:50:37 as ** along with 1 person gyuli
  • Exploiting Background Knowledge in Automated Discovery
    (1996), pp. 355-358.
    by John M Aronis, Foster J Provost, Bruce G Buchanan
    posted to discovery induction kdd knowledge rl rule by EWilliams on 2007-10-16 19:47:06 as **
  • Rule-space search for knowledge-based discovery
    (1999)
    posted to discovery induction kdd knowledge rl rule search by EWilliams on 2007-10-16 19:46:06 as **
  • Survey Of Clustering Data Mining Techniques
    (2002)
    by Pavel Berkhin
  • An interactive system for finding complementary literatures: a stimulus to scientific discovery
    Artif. Intell., Vol. 91, No. 2. (April 1997), pp. 183-203.
    by Don R Swanson, Neil R Smalheiser
    posted to kdd literature by bigbossman on 2008-02-29 00:10:04 as read
  • Information discovery from complementary literatures: categorizing viruses as potential weapons
    J. Am. Soc. Inf. Sci. Technol., Vol. 52, No. 10. (August 2001), pp. 797-812.
    by Don R Swanson, Neil R Smalheiser, A Bookstein
  • Algebraic decision trees and Euler characteristics
    Theor. Comput. Sci., Vol. 141, No. 1-2. (1995), pp. 133-150.
    by Andrew C Yao
    posted to algebra kdd math by AbnerCYH on 2007-11-10 09:34:22 as ** along with 1 person jn
  • An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
    Machine Learning, Vol. 40, No. 2. (2000), pp. 139-157.
    by Thomas G Dietterich
    posted to sys_performance kdd algorithms by AbnerCYH on 2008-06-26 10:40:41 as **
  • Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
    (15 December 2001)
    by Bernhard Schlkopf, Alexander J Smola
  • Boosting Support Vector Machines for Imbalanced Data Sets
    Foundations of Intelligent Systems (2008), pp. 38-47.
    by Benjamin Wang, Nathalie Japkowicz
    posted to optimization kdd algorithms by AbnerCYH on 2008-06-30 17:55:43 as **
  • Optimization and scale-freeness for complex networks
    Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 17, No. 2. (2007)
    by Petter Minnhagen, Sebastian Bernhardsson
    posted to algorithms complex graph kdd by AbnerCYH on 2007-11-12 11:57:59 as ** along with 1 person ansobol
  • A theory of the learnable
    Commun. ACM, Vol. 27, No. 11. (November 1984), pp. 1134-1142.
    by LG Valiant
  • Improved Boosting Algorithms Using Confidence-rated Predictions
    Mach. Learn., Vol. 37, No. 3. (December 1999), pp. 297-336.
    by Robert E Schapire, Yoram Singer
    posted to kdd algorithms by AbnerCYH on 2008-06-26 10:38:43 as ** along with 3 people quam vlachmore bbabenko
  • Symbolic dynamic analysis of complex systems for anomaly detection
    Signal Process., Vol. 84, No. 7. (July 2004), pp. 1115-1130.
    by Asok Ray
    posted to dynamics kdd math testing by AbnerCYH on 2007-12-27 17:24:33 as **
  • Pattern identification in dynamical systems via symbolic time series analysis
    Pattern Recogn., Vol. 40, No. 11. (November 2007), pp. 2897-2907.
    by Venkatesh Rajagopalan, Asok Ray, Rohan Samsi, Jeffrey Mayer
    posted to dynamics kdd math testing by AbnerCYH on 2007-12-27 17:24:20 as **
  • A Tutorial on Support Vector Machines for Pattern Recognition
    Data Min. Knowl. Discov., Vol. 2, No. 2. (June 1998), pp. 121-167.
    by Christopher JC Burges
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