Advances in Information Mining

19-25

Authors: CRISTIAN BISCONTI, ANGELO CORALLO, HOSSAM FARIS, SALVATORE TOTARO

Latent Semantic Analysis (LSA) is a powerful statistical theory and method for indexing, retrieving and analyzing textual information. With the increased demand for more efficient databases and computing power, a lot of research and work has focused on the practical side of the LSA. In this paper we introduce a design and implementation of an SQL extension for LSA applications. The developed SQL extension for LSA is aimed to utilized as an easy and simple interface for basic LSA and cosine similarity functions provided for indexing, searching and retrieving large textual information stored in open source relational database management system like PostgresSQL.

33-43

Authors: TAHEREH SADAT MOUSAVI, BARAANI DASTJERDI

In CSCW systems, the end results are subject on how personnel participate and work specifically in a flexible dynamic environment. Thus, it has become imperative to develop a comprehensive system whereby the analysts can understand and analyze the workflow in order to enhance personnel support, cooperation processes and the final results. In other to achieve this goal, a system whereby individual and groups send feedbacks to the personnel are advocated. If analysts have access to the workflow and personnel information during the execution of work, they will be able to achieve the above-mentioned goals faster through analysis and sending feedback, especially in operational environments in which time is important. In this article, an Incremental Process-mining technique is presented to increase efficiency in a multi perspective process model during the execution of work. This technique is integrated within the ProM6 framework. The results obtained from the proposed algorithm which is based on criteria such as Fitness, Cost-Based Fitness etc tends to agree with alpha algorithm.