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» Techniques of Cluster Algorithms in Data Mining
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KDD
1998
ACM
120views Data Mining» more  KDD 1998»
15 years 10 months ago
Large Datasets Lead to Overly Complex Models: An Explanation and a Solution
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...
Tim Oates, David Jensen
COLT
2003
Springer
15 years 11 months ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...
Mehryar Mohri
MICAI
2004
Springer
15 years 11 months ago
Faster Proximity Searching in Metric Data
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
Edgar Chávez, Karina Figueroa
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
16 years 6 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
LWA
2007
15 years 7 months ago
Incremental Mining for Facility Management
Modern buildings are equipped with high-tech systems that take care of several fundamental aspects, e.g., air-conditioning, heating and water supply. The requirements posed on fac...
Katja Hose, Marcel Karnstedt, Daniel Klan, Kai-Uwe...