Since the advent of data clustering, the original formulation of the clustering problem has
been enriched to incorporate a number of twists to widen its range of application. In …

Attribute-level schema matching is a critical step in numerous database applications, such
as DataSpaces, Ontology Merging and Schema Integration. There exist many researches on …

对Worde Net 中的概念语义相似度算法进行了研究, 分析了Worde Net 中影响语义相似度算法的
相关因素, 利用Worde Net 中is-a 关系构成的概念语义层次结构, 提出了一种新的CP …

The accurate recommendation of daily news requires a detailed knowledge of the topics of
interest to the user. The dynamic and continuous analysis of the content of the news that are …

Intelligent data analysis methods usually require as input a matrix, in which each row is an
object to be analysed and each column is an attribute. In most cases it is assumed that …

Unstructured texts are a very popular data type and still widely unexplored in the privacy
preserving data mining field. We consider the problem of providing public information about …

Opinion mining of online review can identify the key aspects of consumer focusing, thus can
provide the decision basis for business administrators to improve customer services. The …

Semantic similarity plays a vital role within a myriad of shared data applications, such as
data and information integration. A first step towards building such applications is to …

One current research topic in Knowledge Discovery is the analysis of the information
provided by users in Web 2.0 social applications. In particular, some authors have devoted …

Data about individuals are collected on a regular basis by governments and companies for a
variety of purposes. These data stores are valuable resources, and there is a growing …