PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
Abstract. The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal stra...
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
Abstract. Given a point query Q in multi-dimensional space, K-Nearest Neighbor (KNN) queries return the K closest answers in the database with respect to Q. In this scenario, it is...
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
This paper presents a new prediction model for predicting when an online customer leaves a current page and which next Web page the customer will visit. The model can forecast the ...
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
PAKDD
2004
ACM
14 years 2 months ago
2004
ACM
Abstract. Traditional clustering algorithms are based on one representation space, usually a vector space. However, in a variety of modern applications, multiple representations ex...