KDD
2005
ACM
14 years 12 months ago
2005
ACM
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
KDD
2005
ACM
14 years 12 months ago
2005
ACM
We present a novel algorithm called Clicks, that finds clusters in categorical datasets based on a search for k-partite maximal cliques. Unlike previous methods, Clicks mines subs...
KDD
2005
ACM
14 years 12 months ago
2005
ACM
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
KDD
2005
ACM
14 years 12 months ago
2005
ACM
One fundamental task in near-neighbor search as well as other similarity matching efforts is to find a distance function that can efficiently quantify the similarity between two o...
KDD
2005
ACM
14 years 12 months ago
2005
ACM
Web object is defined to represent any meaningful object embedded in web pages (e.g. images, music) or pointed to by hyperlinks (e.g. downloadable files). Users usually search for...
KDD
2005
ACM
14 years 12 months ago
2005
ACM
KDD
2005
ACM
14 years 12 months ago
2005
ACM
This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models an...
KDD
2005
ACM
14 years 12 months ago
2005
ACM
Integrating information in multiple natural languages is a challenging task that often requires manually created linguistic resources such as a bilingual dictionary or examples of...
KDD
2005
ACM
14 years 12 months ago
2005
ACM
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
KDD
2005
ACM
14 years 12 months ago
2005
ACM
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...