ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Comm...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
In this paper, we propose a new mining task: mining top-k frequent closed patterns of length no less than min , where k is the desired number of frequent closed patterns to be min...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
In this paper, we introduce an algebraic approach to the foundations of data mining. Our approach is based upon two algebras of functions de ned over a common state space X and a ...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
We advocate a new learning task that deals with orders of items, and we call this the Learning from Order Examples (LOE) task. The aim of the task is to acquire the rule that is u...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
We present an algorithm to find fragments in a set of molecules that help to discriminate between different classes of, for instance, activity in a drug discovery context. Instea...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
ICDM
2002
IEEE
14 years 1 months ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...