YMCA University of Science and Technology

About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web page & Web crawler. The organization has 299 authors who have published 568 publications receiving 4547 citations.

A reliability based approach for securing migrating crawlers

Abstract: Using migrating crawling agents (migrants) based methods, selection and filtration of web documents can be done at web servers rather than search engine side. It helps in reducing the network load significantly, caused by the web crawlers. Since a migrant roams around the web and executes on remote platform, the security problems have become hindrance for development and maintenance of mobile agent technology. So, there is a need to develop secured migrating agents and to fix issues like maintaining security and integrity of the agent, data it carries and the remote platform on which it executes. This paper presents a remote platform oriented reliability based approach that is helpful in maintaining security and integrity of migrants as well as for data it carries and the remote platform.

Evolution of FOAF and SIOC in Semantic Web: A Survey

Abstract: The era of social web has been growing tremendously over the web. Users are getting allured towards new paradigms tools and services of social web. The amount of information available on social web is produced by sharing of beliefs, reviews and knowledge by various online communities. Interoperability and portability of social data are one of the major bottlenecks of social network applications like Facebook, Twitter, Flicker and many more. In order to represent and integrate social information explicitly and efficiently, it is mandatory to enrich social information with the power of semantics. The paper is categorized into following sections. Section 2 describes various studies conducted in context of social semantic web. Section 3 makes readers aware of concept of social web and various issues associated with it. Section 4 describes use of ontologies in achieving interoperability between social and semantic web. Section 5 concludes the giver paper.

Applications of Data Mining in Software Development Life Cycle: A Literature Survey and Classification

Abstract: Data mining has proven to be an important technique in terms of efficient information extraction, classification, clustering, and prediction of future trends from a database. The valuable properties of data mining have been put to use in many applications. One such application is Software Development Life Cycle (SDLC), where effective use of data mining techniques has been made by researchers. An exhaustive survey on application of data mining in SDLC has not been done in the past. In this chapter, the authors carry out an in-depth survey of existing literature focused towards application of data mining in SDLC and propose a framework that will classify the work done by various researchers in identification of prominent data mining techniques used in various phases of SDLC and pave the way for future research in the emerging area of data mining in SDLC.

Acceptance of technology based self service banking among mature customers

Abstract: Technology based self service banking (TBSSB) includes banking services that customers use independently without any interaction with the bank employees. Though banks have successfully launched TBSSB services (i.e. ATM Banking, Internet Banking, Tele Banking, Mobile Banking etc.), but their adoption among mature customers is still very low in India. In this study people above 50 years of age are considered mature. The purpose of this paper is to find the factors that affect the adoption or intention to adopt TBSSB by mature customers in India. For this purpose, various attributes affecting the adoption of TBSSB by mature customers have been explored. A survey has been used to collect primary data and 152 usable questionnaires were used for the purpose of analysis. Factor analysis procedure was employed to identify the underlying structure among the various explored attributes. This study will help bank managers in gaining insight of the critical attributes and factors affecting adoption of TBSSB, which in-turn will facilitate banks to redesign TBSSB services for mature customer as well as designing promotional activities to convince more and more mature customers to adopt TBSSB. FIELD OF RESEARCH: Marketing

Optimal Query Generation for Hidden Web Extraction through Response Analysis

Abstract: A huge number of Hidden Web databases exists over the WWW forming a massive source of high quality information. Retrieval of this information for enriching the repository of the search engine is the prime target of a Hidden web crawler. Besides this, the crawler should perform this task at an affordable cost and resource utilization. This paper proposes a Random ranking mechanism whereby the queries to be raised by the hidden web crawler have been ranked. By ranking the queries according to the proposed mechanism, the Hidden Web crawler is able to make an optimal choice among the candidate queries and efficiently retrieve the Hidden web databases. The Hidden Web crawler proposed here also possesses an extensible and scalable framework to improve the efficiency of crawling. The proposed approach has also been compared with other methods of Hidden Web crawling existing in the literature.