ABSTRACT Since users are faced with an ever increasing amount of data, fast and effective retrieval of required information is of vital importance. This study examined two methods of using Latent Semantic Analysis (LSA) to improve the results retrieved using a keyword-based technique using sentence or document context. Fifty participants retrieved information using a standard keyword technique ...

With the increasing pervasiveness of the geo-positioning technologies, there is an enormous amount of spatio-textual objects available in many applications such as location based services and social networks. Consequently, various types of spatial keyword searches which explore both locations and textual descriptions of the objects have been intensively studied by the research communities and c...

PRAM (Post Randomization Method) was introduced in 1997 but it is still one of the least used methods in statistical categorical data protection. This fact is because of the difficulty to obtain a good transition matrix in order to obtain a good protection. In this paper, we describe how to obtain a better protection using an evolutionary algorithm with integrated information loss and disclosur...

Massive heterogeneous XML data sources emerge on the Internet nowadays. These data sources are generally autonomous and provide search interfaces of XML query language such as XPath or XQuery. Accordingly, users need to learn complex syntaxes and know the schemas. Keyword Search is a user-friendly information discovery technique, which can assist users in obtaining useful information convenient...

Abstract Autoethnography—a methodology that foregrounds personal experience both during research and in writing about it—is a useful keyword for scholars working Africa the diaspora. Mara Thompson argue by exploring new forms of engaging critical self-reflexivity regarding (shifting) positionalities, autoethnography—particularly collaborative approaches—is vital to ongoing efforts decolonize Af...

Keyword spotting (KWS) aims to detect predefined keywords in continuous speech. Recently, direct deep learning approaches have been used for KWS and achieved great success. However, these approaches mostly assume fixed keyword vocabulary and require significant retraining efforts if new keywords are to be detected. For unrestricted vocabulary, HMM based keywordfiller framework is still the main...

The public cloud data integrity auditing technique is used to check the of through Third Party Auditor (TPA). In order make it more practical, we propose a new paradigm called based on keyword with sensitive information privacy for encrypted data. This designed one most common scenario, that is, user concerns portion files contain his/her interested keywords. our proposed scheme, TPA who only p...