Data Mining for Pattern Recognition and Pattern Matching in Bioinformatics

Master's Thesis from the year 2006 in the subject Computer Science - Bioinformatics, , language: English, abstract: Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors allowing businesses to make proactive, knowledge-driven decisions. Data mining tools can answer business questions that traditionally were too time-consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectation. Automated pattern matching- the ability of a program to compare known patterns and determine the degree of similarity -forms the basis for automated sequence analysis, modeling of protein structures, locating homologous genes, data mining, Internet search engines etc. in bioinformatics. Data mining relies on algorithm pattern matching to locate patterns in online and local databases, using a variety of technologies, from simple keyword matching to rule based expert system and artificial neural networks. In this dissertation, the basic problems related to pattern reorganization and pattern matching for nucleotide and protein sequence alignment are discussed. The main techniques used to solve these problems and a comprehensive survey of most influential algorithms that were proposed during the last decay is described.

Dr. Binod Kumar is Director & Professor at Jayawant Institute of Computer Applications (JSPM's Group), affiliated to Savitribai Phule Pune University, India. He is having more than 21 years of experience in various capacities in research, teaching and academic administration. He worked as Associate Professor at School of Engineering and Computer Technology, Quest International University, MALAYSIA .He is recognized PhD guide in Computer Science & Computer Management under Savitribai Phule Pune University .He has been an evaluator for PhD dissertations of various Universities like Sardar Patel University (Gujarat), Bharathiar University (Coimbatore), M S. University Baroda (Gujarat), Karpagam University (Coimbatore), Charotar Univ. of Science & Tech. Changa (Gujarat), Banasthali University (Rajasthan) and Gujarat Technical University (Ahmedabad). He is reviewer of Journals like Elsevier, SpringerPlus and TPC of various IEEE sponsored conferences.He has conducted PhD viva-voice as External Expert of 10 students at different universities. He has evaluated 43 PhD thesis and under his supervision 02 students have completed PhD and 07 students are pursuing PhD under Savitribai Phule Pune University ,Pune , India. He is Editorial Board member of nearly 45 International Journals. He has been associated with Technical Program Committee member (TPC) of nearly 60 International Conferences in India and abroad.He served as Conference Chairman Committee Member at QUAESTI 2015, The 3rd Virtual Multidisciplinary Conference, Slovakia. He is Senior Member of IEEE Computer Society, Senior Member of Association for Computing Machinery (ACM, USA).He has published nearly 45 papers in International & National Journals/Conferences. His areas of interest are Machine Learning & IoT.