This paper presents a mining tool to extract relevant terms and relationships from texts, and
proposes its use in educational applications. A particular text mining technique is employed …

Ontology is being a fundamental form of knowledge representation about the real world. In
the computer science perspective, ontology defines a set of representational primitives with …

In one embodiment, a content filtering system generates a support vector machine (SVM)
learning model in a server computer and provides the SVM learning model to a mobile …

High power consumption during test may lead to yield loss and premature aging. In
particular, excessive peak power during at-speed delay fault testing represents an important …

In text mining, the concept of clustering is common and important to retrieve and categorize
documents. Clustering techniques divers and many of them are applied on different …

As part of the information seeking process, a large amount of effort is invested in order to
study and understand how information seekers search through documents such that they …

Since the advent of the digital era, the traditional TV scenario has rapidly evolved towards
an ecosystem comprised of a myriad of services, applications, channels, and contents. As a …

Vector-space model is one of the most popular information retrieval models and it has been
successfully implemented in retrieving many textual document collections. However, not …

Abstract The World Wide Web is a large distributed digital information space. The ability to
search and retrieve information from the Web efficiently and effectively is an enabling …

As a result of the rapid advancements in Information Technology, Information Retrieval on
Internet is gaining importance, day by day. The web comprises of huge amount of data and …