Querying Biological Sequences Docking Using Different Constraint Programming’s: a Survey

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-22 Number-1
Year of Publication : 2015
Authors : B.Mallikarjuna Reddy, P.Chandrasekhar, M.Ramakrishna Reddy
  10.14445/22312803/IJCTT-V22P110

MLA

B.Mallikarjuna Reddy, P.Chandrasekhar, M.Ramakrishna Reddy "Querying Biological Sequences Docking Using Different Constraint Programming’s: a Survey". International Journal of Computer Trends and Technology (IJCTT) V22(1):46-52, April 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Technology with its usability varies with time and constraint, for which these day’s we call technology of Software as changing technology. Considering the Human race and its available technological services still yet need to be explored. Hence in the above context, we try to put forward the Biological human constraints like Blood Group, DNA Sample, PH level and many other symptomatic records as recognition of pattern matching by using the data mining tool with soft computing. Different numbers of soft computing tools are available in market that is run based on data mining domain. Combine the different number of soft computing tools using hybridization create the new soft computing tools. Generally Fuzzy set theory handling the issues related understandability patterns, insufficient and noisy data. Fuzzy set theory provides the faster solutions. Machine learning, membership functions, neural networks, artificial intelligence domains has many number of learning methodologies. These domains related techniques are providing the data rich environment solutions. Consider the mixed biological data transactions and we select the different number of approaches. In mixed data extract the useful biological sequences data with subgroup discovery iterative genetic algorithm, Cluster based fuzzy genetic algorithm mining framework, hierarchical fuzzy rule based systems. Some challenges of data mining and application of software computing methodologies.

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Keywords
Fuzzy set theory, membership functions, fuzzy rules, KDD, learning techniques, genetic algorithm.