The growing popularity of massively accessed Web applications that store and analyze
large amounts of data, being Facebook, Twitter and Google Search some prominent …

The continuous increase in computational capacity over the past years has produced an
overwhelming flow of data or big data, which exceeds the capabilities of conventional …

Data world is ruling us since last decade. The rapidity at which heterogeneous data is being
generated from various bases such as social networks and media, mobile devices, e …

Many parallelization techniques have been proposed to enhance the performance of the
Apriori-like frequent itemset mining algorithms. Characterized by both map and reduce …

The Terrier information retrieval (IR) platform, maintained by the University of Glasgow, has
been open sourced since 2004. Open source IR platforms are vital to the research …

Basket analysis is a prevailing technique to help retailers uncover patterns and associations
of sold products in customer shopping transactions. However, as the size of transaction …

We are constantly being told that we live in the Information Era-the Age of BIG data. It is
clearly apparent that organizations need to employ data-driven decision making to gain …

Continuous growth of the Web and user bases forces web search engine companies to
make costly investments on very large compute infrastructures. The scalability of these …

While technologies to build and run big data projects have started to mature and proliferate
over the last couple of years, exploiting all potentials of big data is still at a relatively early …

Various methods and techniques have been proposed in past for improving performance of
queries on structured and unstructured data. The paper proposes a parallel B-Tree index in …