Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

Computing the degree of semantic relatedness of words is a key functionality of many
language applications such as search, clustering, and disambiguation. Previous …

The task of similarity search is widely used in various areas of computing, including
multimedia databases, data mining, bioinformatics, social networks, etc. In fact, retrieval of …

Semantic relatedness (SR) is a form of measurement that quantitatively identifies the
relationship between two words or concepts based on the similarity or closeness of their …

Temporal data mining deals with the harvesting of useful information from temporal data.
New initiatives in health care and business organizations have increased the importance of …

The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

With the exponential growth of the available information on the World Wide Web, a
traditional search engine, even if based on sophisticated document indexing algorithms, has …

Web search engines have stored in their logs information about users since they started to
operate. This information often serves many purposes. The primary focus of this survey is on …

Lately there exist increasing demands for online abnormality monitoring over trajectory
streams, which are obtained from moving object tracking devices. This problem is …

Using visual analytic systems effectively may incur a steep learning curve for users,
especially for those who have little prior knowledge of either using the tool or accomplishing …