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 …

Introduction to Information Retrieval is the first textbook with a coherent treatment of classical
and web information retrieval, including web search and the related areas of text …

Program understanding plays a pivotal role in software maintenance and evolution: a deep
understanding of code is the stepping stone for most software-related activities, such as bug …

Conventional document retrieval systems (eg, Alta Vista) return long lists of ranked
documents in response to user queries. Recently, document clustering has been put forth as …

We present a recommender system that models and recommends product features for a
given domain. Our approach mines product descriptions from publicly available online …

Clustering of very large document databases is useful for both searching and browsing. The
periodic updating of clusters is required due to the dynamic nature of databases. An …

Requirements engineering (RE) is considered as one of the most critical phases in software
development. Poorly implemented RE processes are still one of the major risks for project …

Conventional topic modeling schemes, such as Latent Dirichlet Allocation, are known to
perform inadequately when applied to tweets, due to the sparsity of short documents. To …

This book provides a perspective on the application of machine learning-based methods in
knowledge discovery from natural languages texts. By analysing various data sets …

Context: Categorising software systems according to their functionality yields many benefits
to both users and developers. Goal: In order to uncover the latent clustering of mobile apps …