KDD
2003
ACM
14 years 4 months ago
2003
ACM
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
KDD
2003
ACM
14 years 4 months ago
2003
ACM
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
KDD
2003
ACM
14 years 4 months ago
2003
ACM
Understanding the differences between contrasting groups is a fundamental task in data analysis. This realization has led to the development of a new special purpose data mining t...
KDD
2003
ACM
14 years 4 months ago
2003
ACM
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
KDD
2003
ACM
14 years 4 months ago
2003
ACM
KDD
2003
ACM
14 years 4 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
KDD
2003
ACM
14 years 4 months ago
2003
ACM
Although most time-series data mining research has concentrated on providing solutions for a single distance function, in this work we motivate the need for a single index structu...
KDD
2003
ACM
14 years 4 months ago
2003
ACM
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
KDD
2003
ACM
14 years 4 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
KDD
2003
ACM
14 years 4 months ago
2003
ACM
Decision trees are commonly used for classification. We propose to use decision trees not just for classification but also for the wider purpose of knowledge discovery, because vi...