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» Data Mining: Machine Learning, Statistics, and Databases
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KDD
2004
ACM
330views Data Mining» more  KDD 2004»
14 years 7 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
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
14 years 27 days 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
MLDM
2007
Springer
14 years 1 months ago
Mining Frequent Trajectories of Moving Objects for Location Prediction
Advances in wireless and mobile technology flood us with amounts of moving object data that preclude all means of manual data processing. The volume of data gathered from position...
Mikolaj Morzy
SIGMOD
2001
ACM
92views Database» more  SIGMOD 2001»
14 years 7 months ago
Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach
AnHai Doan, Pedro Domingos, Alon Y. Halevy
ESANN
2004
13 years 8 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk