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» Data Mining and Database Systems: Where is the Intersection
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IIR
2010
15 years 7 months ago
An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 11 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
KDD
2003
ACM
128views Data Mining» more  KDD 2003»
16 years 6 months ago
Similarity analysis on government regulations
Government regulations are semi-structured text documents that are often voluminous, heavily cross-referenced between provisions and even ambiguous. Multiple sources of regulation...
Gloria T. Lau, Kincho H. Law, Gio Wiederhold
COOPIS
1994
IEEE
15 years 10 months ago
Query Translation Supporting the Migration of Legacy Databases into Cooperative Information Systems
In this paper, we present a query translation algorithm which allows object-oriented queries to be automatically translated into a relational query language. Our goal is to provid...
Daniel A. Keim, Hans-Peter Kriegel, Andreas Mieths...
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 9 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo