During the last decade, multimedia databases have become increasingly important in many
application areas such as medicine, CAD, geography, and molecular biology. An important …

Similarity search is a primitive operation in database and Web search engines. With the
advent of large-scale heterogeneous information networks that consist of multi-typed …

Most objects and data in the real world are of multiple types, interconnected, forming
complex, heterogeneous but often semi-structured information networks. However, most …

In recent years, the effect of the curse of high dimensionality has been studied in great detail
on several problems such as clustering, nearest neighbor search, and indexing. In high …

As a prolific research area in data mining, subspace clustering and related problems
induced a vast quantity of proposed solutions. However, many publications compare a new …

A heterogeneous information network is an information network composed of multiple types
of objects. Clustering on such a network may lead to better understanding of both hidden …

In this article, we present an efficient B+-tree based indexing method, called iDistance, for K-
nearest neighbor (KNN) search in a high-dimensional metric space. iDistance partitions the …

Similarity search is an important function in many applications, which usually focuses on
measuring the similarity between objects with the same type. However, in many scenarios …

Nowadays, in information systems such as web search engines and databases, diversity is
becoming increasingly essential and getting more and more attention for improving users' …

A frequent type of query in spatial networks (eg, road networks) is to find the K nearest
neighbors (KNN) of a given query object. With these networks, the distances between …