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EDBT
2004
ACM
234views Database» more  EDBT 2004»
14 years 8 months ago
A Condensation Approach to Privacy Preserving Data Mining
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
Charu C. Aggarwal, Philip S. Yu
PODS
2004
ACM
130views Database» more  PODS 2004»
14 years 8 months ago
Computational Complexity of Itemset Frequency Satisfiability
Computing frequent itemsets is one of the most prominent problems in data mining. We introduce a new, related problem, called FREQSAT: given some itemset-interval pairs, does ther...
Toon Calders
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
14 years 8 months ago
Building data mining solutions with OLE DB for DM and XML for analysis
A data mining component is included in Microsoft SQL Server 2000 and SQL Server 2005, one of the most popular DBMSs. This gives a push for data mining technologies to move from a ...
ZhaoHui Tang, Jamie Maclennan, Pyungchul (Peter) K...
VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 8 months ago
Providing k-anonymity in data mining
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
Arik Friedman, Ran Wolff, Assaf Schuster
CHI
2004
ACM
14 years 9 months ago
Interactive Comprehensible Data Mining
This paper discusses a novel data mining system devised and developed at Birmingham, which attempts to provide a more effective data mining system. It ties in with the workshop go...
Andy Pryke, Russell Beale
KDD
2001
ACM
194views Data Mining» more  KDD 2001»
14 years 9 months ago
Mining Indirect Associations in Web Data
Pang-Ning Tan, Vipin Kumar
KDD
2001
ACM
231views Data Mining» more  KDD 2001»
14 years 9 months ago
A Framework for Efficient and Anonymous Web Usage Mining Based on Client-Side Tracking
Web Usage Mining (WUM), a natural application of data mining techniques to the data collected from user interactions with the web, has greatly concerned both academia and industry ...
Cyrus Shahabi, Farnoush Banaei Kashani
KDD
2001
ACM
262views Data Mining» more  KDD 2001»
14 years 9 months ago
LOGML: Log Markup Language for Web Usage Mining
Web Usage Mining refers to the discovery of interesting information from user navigational behavior as stored in web access logs. While extracting simple information from web logs...
John R. Punin, Mukkai S. Krishnamoorthy, Mohammed ...
KDD
2001
ACM
237views Data Mining» more  KDD 2001»
14 years 9 months ago
Exploiting Web Log Mining for Web Cache Enhancement
Abstract. Improving the performance of the Web is a crucial requirement, since its popularity resulted in a large increase in the user perceived latency. In this paper, we describe...
Alexandros Nanopoulos, Dimitrios Katsaros, Yannis ...
KDD
2001
ACM
156views Data Mining» more  KDD 2001»
14 years 9 months ago
A Customer Purchase Incidence Model Applied to Recommender Services
In this contribution we transfer a customer purchase incidence model for consumer products which is based on Ehrenberg's repeat-buying theory to Web-based information products...
Andreas Geyer-Schulz, Michael Hahsler, Maximillian...