[PDF] Top 20 A Novel Approaches for Motif Discovery using Data Mining Algorithm
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A Novel Approaches for Motif Discovery using Data Mining Algorithm
... A MapReduce process is collected of map() technique that achieves cleaning and arrangement of the DNA sequences. A Reduce () technique that achieves a precipitate. Daniel et al. Developed [17] a. EXTREME tools for ... See full document
5
Survey on Frequent Pattern Discovery and its Approaches using: Data Mining
... rule mining is used to discover the frequently occurring patterns in the ...Apriori algorithm can be considered as one of the oldest algorithm in the field of association rule ...apriori ... See full document
6
A Novel Algorithm for Privacy Preserving Distributed Data Mining
... distributed data mining[. Hence science researchers in data mining provide solutions to the problems of distributed data ...of data that Participate in mining ...include ... See full document
5
Analysis of computational approaches for motif discovery
... the motif model φ and its binding sites Z, and Pr(X|p 0 ) gives the likelihood of the sequences assuming the background model p 0 ...an algorithm guaranteeing the global optimal solution for the log ... See full document
8
A Review of Opinion Mining Approaches for Knowledge Discovery
... a novel approach for using stemmer technique on nepali language for improving the accuracy of analyzing the text ...events using English as “lingua franca” and on under-resourced Mediterranean ... See full document
7
Discovery of a Novel Murine Type C Retrovirus by Data Mining
... CTCTGG). This palindrome coincides with a sequence that closely matches a highly conserved motif of pol (Fig. 2). This sequence lies within a small ORF (213 bp, positions 378 to 590). The significance of this ORF ... See full document
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Regulatory motif discovery using a population clustering evolutionary algorithm
... of motif discovery techniques [14], [21], [26], [31], [34], ...a motif model by statistical analysis of the sequence ...Statistical approaches, by comparison, are commonly used for finding ... See full document
14
Max-Miner Algorithm Using Knowledge Discovery Process in Data Mining
... Max-Miner algorithm for efficiently extracting only the maximal frequent itemsets, where an itemset is maximal frequent if it has no superset that is ...some data-sets. On other data-sets where the ... See full document
7
DNA Sequence Motif Discovery Using Evolutionary Multi Objective Differential Evolution Algorithm
... Abstract:- Motif finding in biological sequences is a widely studied yet not fully solved ...biological approaches are not efficient both in space and ...sequencing data are readily available for ... See full document
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Biological Motif Discovery Algorithm based on Mining Tree Structure
... The evolution of the field of bioinformatics has increased in observed way, resulting a huge number of techniques and application for the purpose of solving biological problems. Even that many researchers believe that ... See full document
6
State of Art of Multi Relational Data Mining Approaches: A Rule Mining Algorithm
... Relational Data Mining) which consist of multiple interconnected relations and each of which represents the specific objects or types of different ...existing algorithm cant handled the relational ... See full document
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Online Full Text
... popular motif discovery tools by means of performance, length of motifs and/or some other ...genetic algorithm in their structured Genetic Algorithm (St-GA) to search and to discover highly ... See full document
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A novel method in scam detection and prevention using data mining approaches
... In this section a new approach in scam detection is proposed. This approach uses K-Nearest Neighbor algorithm (KNN), but with modification to Document Similarity equation. In addition classification is not binary ... See full document
12
Gapped Motif Discovery with Multi Objective Genetic Algorithm
... We have developed a multi-objective genetic algorithm for the identification of gapped motifs in organisms, es- pecially those with peculiarity in their genomic structure. These gapped motifs are biological ... See full document
6
Diabetes data prediction using data classification algorithm
... The target of the information extracting method is to extract data from a dataset and make over it into a clear construction for additional use. This is a diagnostic method planned to scrutinized the information ... See full document
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A survey of frequent subgraph mining algorithms
... graph data set for them to be considered interesting (support ...input data, a process known as isomorphism ...Itemset Mining (FIM) popularised in the context of association rule mining (see ... See full document
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A Detailed Study on Text Mining using Genetic Algorithm
... textual data available to us is consistently increasing, and approximately 80% of the information of an organization is stored in unstructured textual format, in the form of reports, email, views and news ... See full document
5
A Novel Approach to Smart Higen Chatbot System by Using Data Mining Algorithm
... Abstract— Data mining is important and useful tool as compare to several efficient tools for extracting data that are stored in a ...pattern mining is one of data mining ... See full document
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ANALYZING THE USES OF DATA MINING IN BIOLOGICAL AND ENVIRONMENTAL PROBLEMS
... of data are serene daily. Analyzing such data is a very key ...need. Data mining can meet this need by providing tools; methods and techniques to discover knowledge from real data ... See full document
6
A Novel Technique For Secure Data Transmission Using Cryptography And Steganography
... RSA algorithm is based on public - key cryptography algorithm which is presented by Ron Rivest, Adi Shamir and Len Adlemen in ...cryptographic algorithm which is used for digital ...RSA ... See full document
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