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Mechanism to provide Compact Database for Mobile Computing

Mechanism to provide Compact Database for Mobile Computing

Essential PhD Thesis on Mechanism to provide Compact Database for Mobile Computing

Research Area:  Mobile Computing

Abstract:

   Mobile computing means small and portable devices are connected with each other tirelessly. The purpose of the connection is to use central or distributed information. Mobile computing provides capability to mobile devices which are synchronized, mobile and interconnected to perform computation on single location or distributed location with use of communication standards and protocols.Mining process can be performed to retrieve data from distributed sites, which is referred as distributed data mining.
    Mobile Agent is an emerging paradigm immobile computing and is efficient in terms of latency, bandwidth and response time. The approach of mobile agent is popular in distributed data mining because it transfers code instead of data so, mining process can be performed on the local sites. The agents migrate to the distributed sites, they perform necessary operations at the local sites and returns just the final outcome to the server. Agent paradigm is required to avoid massive movement of data and slow response time.In distributed data mining, different mining algorithms are available that includes clustering and association rule mining.
   In this research association rule mining algorithms has been identified as important for integration of knowledge generated from the multiple data sites. This research describes creation of association rule mining algorithm and the steps to implement it on agent architecture.
   This research focuses on enabling the agents with certain amount of intelligence to apply the domain specific knowledge to retrieve, filter and classify information, find patterns and make predictions.
   This research also focuses on intelligent agent paradigm in the context of information retrieval, filtering, classification and learning using proposed data mining algorithm. The proposed algorithm reduces the database scanning and increases performance by 74% as compared to existing association rule mining Algorithmically.

Name of the Researcher:  Darshana J. Patel

Name of the Supervisor(s):  Dr. J. S. Shah

Year of Completion:  2018

University:  Gujarat Technological University

Thesis Link:   Home Page Url