Nowadays, with the advance of technology, many applications generate huge amounts of
data streams at very high speed. Examples include network traffic, web click streams, video …

Nowadays, many real-world applications of our daily life generate massive volume of
streaming data at a higher speed than ever before, to name a few, Web clicking data …

Online content exhibits rich temporal dynamics, and diverse realtime user generated content
further intensifies this process. However, temporal patterns by which online content grows …

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

Given a large collection of sparse vector data in a high dimensional space, we investigate
the problem of finding all pairs of vectors whose similarity score (as determined by a function …

We consider the problem of clustering data over time. An evolutionary clustering should
simultaneously optimize two potentially conflicting criteria: first, the clustering at any point in …

Users on Twitter, a microblogging service, started the phenomenon of adding tags to their
messages sometime around February 2008. These tags are distinct from those in other Web …

In information retrieval, query auto completion (QAC), also known as typeahead [**ao et al.,
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …

G06F 7/00(200601) A system, method, and computer readable medrum for apply G06F
17/30(200601) ing one or more information retrieval technologies is dis (52) us CL closed …

Characterizing the relationship that exists between a person's social group and his/her
personal behavior has been a long standing goal of social network analysts. In this paper …