Welcome to DiSC

 Journals
   TODS '08/'09
   VLDBJ '08/'09
   PVLDB '08/'09

 Forums
   DE Bulletin '08/'09
   SIGKDD Explor. '08/'09
   SIGIR Forum '08/'09
   SIGMOD Record '08/'09

 Conferences
   ADC '08
   ADC '09
   APCCM '08
   APCCM '09
   CIKM '08
   CIKM '09
   EDBT '08
   EDBT '09
   GIS '08
   GIS '09
   Hypertext '08
   Hypertext '09
   ICDT '09
   JCDL '08
   JCDL '09
   KDD '08
   KDD '09
   MIR '08
   PODS '08
   PODS '09
   SIGIR '08
   SIGIR '09
   SIGMOD '08
   SIGMOD '09

 Symposiums
   SBBD '08
   SBBD '09

 Workshops
   DaMoN '08
   DaMoN '09
   DBTest '08
   DBTest '09
   DOLAP '08
   DOLAP '09
   IDAR '08
   KEYS '09
   MobiDE '08
   MobiDE '09
   WebDB '08
   WIDM '08
   WIDM '09
   XIME-P '08

 Videos
   SIGMOD/PODS '08
   SIGMOD/PODS '09

Volume 10 (papers published in 2008) and Volume 11 (papers published in 2009) SIGKDD Explorations are located on this DVD. You may use the " PDF" link to retrieve the paper, and the other links to find more information on the paper.

Contents

Volume 10, Number 1

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John F. Roddick, Myra Spiliopoulou, Daniel Lister, Aaron Ceglar
Higher order mining 5-17

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Nitin Agarwal, Huan Liu
Blogosphere: research issues, tools, and applications 18-31

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Tom Fawcett
Data mining with cellular automata 32-39

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Aris Gkoulalas-Divanis, Vassilios S. Verykios
A privacy-aware trajectory tracking query engine 40-49

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Bruce D. McCullough
Ian Ayres's Super Crunchers is not about super crunching 50-52

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Fabrice Guillet, Brigitte Trousse
8th French-speaking conference on knowledge discovery and management (EGC2008): conference report 53-54

Volume 10, Number 2

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Mirko Böttcher, Frank Höppner, Myra Spiliopoulou
On exploiting the power of time in data mining 3-11

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Bin Zhou 0002, Jian Pei, WoShun Luk
A brief survey on anonymization techniques for privacy preserving publishing of social network data 12-22

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Olfa Nasraoui
Web data mining: exploring hyperlinks, contents, and usage data 23-25

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Xiaoxin Yin
Scalable mining and link analysis across multiple database relations 26-27

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Jimeng Sun
Incremental pattern discovery on streams, graphs and tensors 28-29

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David Martens
Building acceptable classification models for financial engineering applications: thesis summary 30-31

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Pradeep Ravikumar
Approximate inference, structure learning and feature estimation in Markov random fields: thesis abstract 32-33

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R. Bharat Rao, Oksana Yakhnenko, Balaji Krishnapuram
KDD cup 2008 and the workshop on mining medical data 34-38

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Claudia Perlich, Prem Melville, Yan Liu 0002, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset
Breast cancer identification: KDD CUP winner's report 39-42

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Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Cho-Yi Hsiao, Anta Huang, Tsung-Ting Kuo, Wei-Chi Lai, Ming-Han Yang, Jung-Jung Yeh, Chun-Chao Yen, Shou-De Lin
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method 43-46

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Dou Shen, Arun C. Surendran, Ying Li
Report on the second KDD workshop on data mining for advertising 47-50

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Jake Y. Chen, Mohammed Javeed Zaki, Stefano Lonardi
BIOKDD 2008: a workshop report on data mining in bioinformatics 51-53

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Chris H. Q. Ding, Tao Li, Shenghuo Zhu
KDD2008 workshop report DMMT'08: data mining using matrices and tensors 54-56

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Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlsson
Algorithmic and statistical challenges in modern largescale data analysis are the focus of MMDS 2008 57-60

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Xingquan Zhu, Ruoming Jin, Yuri Breitbart, Gagan Agrawal
MMIS07, 08: mining multiple information sources workshop report 61-65

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Francesco Bonchi, Elena Ferrari, Wei Jiang, Bradley Malin
PinKDD'08: privacy, security, and trust in KDD post workshop report 66-67

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Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly
Knowledge discovery from sensor data (SensorKDD) 68-73

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Haizheng Zhang, Marc Smith, C. Lee Giles, John Yen, Henry C. Foley
SNAKDD 2008 social network mining and analysis postworkshop report 74-77

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Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zaïane, Jaideep Srivastava, Bamshad Mobasher
WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report 78-83

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Michael Giering
Retail sales prediction and item recommendations using customer demographics at store level 84-89

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Al Mamunur Rashid, George Karypis, John Riedl
Learning preferences of new users in recommender systems: an information theoretic approach 90-100

Volume 11, Number 1

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Robert L. Grossman
Open source analytics: an introduction to the special issue 3-4

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Robert L. Grossman
What is analytic infrastructure and why should you care? 5-9

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Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
The WEKA data mining software: an update 10-18

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Rick Pechter
What's PMML and what's new in PMML 4.0? 19-25

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Michael R. Berthold, Nicolas Cebron, Fabian Dill, Thomas R. Gabriel, Tobias Kötter, Thorsten Meinl, Peter Ohl, Kilian Thiel, Bernd Wiswedel
KNIME - the Konstanz information miner: version 2.0 and beyond 26-31

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Alex Guazzelli, Kostantinos Stathatos, Michael Zeller
Efficient deployment of predictive analytics through open standards and cloud computing 32-38

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Peter Christen
Development and user experiences of an open source data cleaning, deduplication and record linkage system 39-48

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Aparna S. Varde
Challenging research issues in data mining, databases and information retrieval 49-52

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Arthur Zimek
Correlation clustering 53-54

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Albert Bifet
Adaptive learning and mining for data streams and frequent patterns 55-56

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Tarek Hamrouni
Mining concise representations of frequent patterns through conjunctive and disjunctive search spaces 57-58

Volume 11, Number 2

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Kai Puolamäki, Alessio Bertone
Introduction to the special issue on visual analytics and knowledge discovery 3-4

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Daniel A. Keim, Florian Mansmann, Jim Thomas
Visual analytics: how much visualization and how much analytics? 5-8

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Enrico Bertini, Denis Lalanne
Investigating and reflecting on the integration of automatic data analysis and visualization in knowledge discovery 9-18

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Gennady L. Andrienko, Natalia V. Andrienko
Interactive cluster analysis of diverse types of spatiotemporal data 19-28

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Sara Johansson, Jimmy Johansson
Visual analysis of mixed data sets using interactive quantification 29-38

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Carson Kai-Sang Leung, Christopher L. Carmichael
FpVAT: a visual analytic tool for supporting frequent pattern mining 39-48

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Harald Piringer, Matthias Buchetics, Helwig Hauser, Eduard Gröller
Hierarchical difference scatterplots: interactive visual analysis of data cubes 49-58

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Niels Landwehr
Trading expressivity for efficiency in statistical relational learning: Ph.D. thesis abstract 59-60

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Aris Gkoulalas-Divanis
From itemsets through trajectories to location based services: a knowledge hiding privacy approach 61-62

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Peter A. Flach, Sebastian Spiegler, Bruno Golénia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki
Novel tools to streamline the conference review process: experiences from SIGKDD'09 63-67

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Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel
Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database 68-76

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Chris H. Q. Ding, Tao Li
KDD2009 workshop report DMMT'09: data mining using matrices and tensors 77-79

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Panagiotis G. Ipeirotis, Raman Chandrasekar, Paul N. Bennett
A report on the human computation workshop (HComp 2009) 80-83

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Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber
Knowledge discovery from sensor data (SensorKDD) 84-87

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Jan Ramon, Fabrizio Costa, Christophe Costa Florêncio, Joost N. Kok
StReBio'09: statistical relational learning and mining in bioinformatics 88-89

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Jian Pei, Lise Getoor, Ander de Keijzer
Summary of the first ACM SIGKDD workshop on knowledge discovery from uncertain data (U'09) 90-91

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Gaston L'Huillier, Richard Weber, Nicolas Figueroa
Online phishing classification using adversarial data mining and signaling games 92-99

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Winter A. Mason, Duncan J. Watts
Financial incentives and the "performance of crowds" 100-108

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Mykola Pechenizkiy, Jorn Bakker, Indre Zliobaite, Andriy Ivannikov, Tommi Kärkkäinen
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift 109-116

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Huma Lodhi, Stephen Muggleton, Michael J. E. Sternberg
Multi-Class protein fold recognition using large margin logic based divide and conquer learning 117-122

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Carson Kai-Sang Leung, Dale A. Brajczuk
Efficient algorithms for the mining of constrained frequent patterns from uncertain data 123-130




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