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  1. APPLICATIONS OF BIOINFORMATICS IN DRUG DISCOVERY AND PROCESS RESEARCH Dr. Basavaraj K. Nanjwade M.Pharm., Ph.D Associate Professor Department of Pharmaceutics JN Medical College KLE University, Belgaum- 590010
  2. Bioinformatics
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Cross- Language Information Retrieval (CLIR) is a\nsubfield of Information Retrieval which provides a query in\none language and searches document collections in one or\nmany languages but it also has a specific meaning of crosslanguage\ninformation retrieval where a document collection\nis multilingual. In the present research, we focus on query\ntranslation, disambiguation of multiple translation candidates\nand query expansion with various combinations, in order to\nimprove the effectiveness of retrieval. Extracting, selecting\nand adding terms that emphasize query concepts are performed\nusing expansion techniques such as, pseudo-relevance\nfeedback, domain-based feedback and thesaurus-based\nexpansion. A method for information retrieval for a query\nexpressed in a native language is presented in this paper. It\nuses insights from data mining and intelligent search for\nformulating the query and parsing the results.\";s:5:\"thumb\";s:89:\"images/t/3943/cross-lingual-information-retrieval-using-search-engine-and-data-mining.jpg\";s:6:\"thumb2\";s:90:\"images/t2/3943/cross-lingual-information-retrieval-using-search-engine-and-data-mining.jpg\";s:9:\"permalink\";s:71:\"cross-lingual-information-retrieval-using-search-engine-and-data-mining\";s:5:\"pages\";s:1:\"4\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:5;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"562483\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:5:\"ijret\";s:9:\"author_id\";s:6:\"566473\";s:14:\"author_website\";s:16:\"http://ijret.org\";s:5:\"title\";s:109:\"IJRET-PRIVACY PRESERVING DATA MINING IN FOUR GROUP RANDOMIZED RESPONSE TECHNIQUE USING ID3 AND CART ALGORITHM\";s:11:\"description\";s:1049:\"Data mining is a process in which data collected from different sources is analyzed for useful information. Data mining is also known\nas knowledge discovery in database (KDD). Privacy and accuracy are the important issues in data mining when data is shared. Most\nof the methods use random permutation techniques to mask the data, for preserving the privacy of sensitive data. Randomize response\ntechniques were developed for the purpose of protecting surveys privacy and avoiding biased answers. The proposed work thesis is to\nenhance the privacy level in RR technique using four group schemes. First according to the algorithm random attributes a, b, c, d\nwere considered, Then the randomization have been performed on every dataset according to the values of theta. Then ID3 and CART\nalgorithm are applied on the randomized data. The result shows that by increasing the group, the privacy level will increase. This\nwork shows that as compared with three group scheme with four groups scheme the accuracy decreases 6% but the privacy increases\n65%.\";s:5:\"thumb\";s:117:\"images/t/5625/ijret-privacy-preserving-data-mining-in-four-group-randomized-response-technique-using-id3-and-cart.jpg\";s:6:\"thumb2\";s:118:\"images/t2/5625/ijret-privacy-preserving-data-mining-in-four-group-randomized-response-technique-using-id3-and-cart.jpg\";s:9:\"permalink\";s:99:\"ijret-privacy-preserving-data-mining-in-four-group-randomized-response-technique-using-id3-and-cart\";s:5:\"pages\";s:1:\"5\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:6;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"108373\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:5:\"daisi\";s:9:\"author_id\";s:1:\"0\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:47:\"Data Mining With Excel 2007 And SQL Server 2008\";s:11:\"description\";s:48:\"Data Mining With Excel 2007 And SQL Server 2008 \";s:5:\"thumb\";s:92:\"data/thumb/Data-Mining-With-Excel-2007-And-SQL-Server-2008-Presentation-Transcript-37144.jpg\";s:6:\"thumb2\";s:93:\"data/thumb2/Data-Mining-With-Excel-2007-And-SQL-Server-2008-Presentation-Transcript-37144.jpg\";s:9:\"permalink\";s:47:\"data-mining-with-excel-2007-and-sql-server-2008\";s:5:\"pages\";s:2:\"48\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:7;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"451306\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:6:\"mrrbiz\";s:9:\"author_id\";s:6:\"490194\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:121:\" Recent Market Report:-Global Big Data Market in the Oil and Gas Sector 2012-2016 Available on MarketResearchReport.biz\";s:11:\"description\";s:314:\"\nTechNavio\'s analysts forecast the Global Big Data market in the Oil and Gas sector to grow at a CAGR of 57.08 percent over the period 2012-2016.\nTo Read The Complete Report Kindly Visit: http://www.marketresearchreports.biz/analysis/169836\nFor All Latest Reports Kindly visit: http://www.marketresearchreports.biz\";s:5:\"thumb\";s:117:\"images/t/4514/recent-market-report-global-big-data-market-in-the-oil-and-gas-sector-2012-2016-available-on-market.jpg\";s:6:\"thumb2\";s:118:\"images/t2/4514/recent-market-report-global-big-data-market-in-the-oil-and-gas-sector-2012-2016-available-on-market.jpg\";s:9:\"permalink\";s:99:\"recent-market-report-global-big-data-market-in-the-oil-and-gas-sector-2012-2016-available-on-market\";s:5:\"pages\";s:1:\"3\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:8;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"518409\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:13:\"erpublication\";s:9:\"author_id\";s:6:\"612710\";s:14:\"author_website\";s:0:\"\";s:5:\"title\";s:81:\"Use of Data Mining techniques on Teaching Language in Higher Education Department\";s:11:\"description\";s:1220:\"Abstract— Data mining is characterized by tools that deal with large amounts of data with statistical precision being less important than speed. With hundreds of thousands of data points, statistical significance is not really a very big issue and is certainly not equivalent to practical significance. In contrast, traditional statistics courses in Colleges settings deal with very carefully collected data from designed experiments or careful observational studies. From ancient period in India, educational institution embarked to use class room teaching. Where a teacher explains the material and students understand and learn the lesson. There is no absolute scale for measuring knowledge but examination score is one scale which shows the performance indicator of students. So it is important that appropriate material is taught but it is vital that while teaching which language is chosen, class notes must be prepared and attendance. This study analyses the impact of language on the presence of students in class room. The main idea is to find out the support, confidence and interestingness level for appropriate language and attendance in the classroom. For this purpose association rule is used.\";s:5:\"thumb\";s:99:\"images/t/5185/use-of-data-mining-techniques-on-teaching-language-in-higher-education-department.jpg\";s:6:\"thumb2\";s:100:\"images/t2/5185/use-of-data-mining-techniques-on-teaching-language-in-higher-education-department.jpg\";s:9:\"permalink\";s:81:\"use-of-data-mining-techniques-on-teaching-language-in-higher-education-department\";s:5:\"pages\";s:1:\"5\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}i:9;O:8:\"stdClass\":13:{s:2:\"id\";s:6:\"307481\";s:6:\"status\";s:8:\"verified\";s:11:\"author_name\";s:15:\"Nicole Hamilton\";s:9:\"author_id\";s:1:\"0\";s:14:\"author_website\";s:23:\"http://hamiltonlabs.com\";s:5:\"title\";s:51:\"Data Mining and Statistics: What\'s the Connection?\";s:11:\"description\";s:289:\"Data Mining is used to diseover patterns and relationships in data, with an emphasis on large observational data bases. It sits at the eommon frontiers of several fields including Data Base Management, Artificial Intelligence, Machine Learning, Pattern Recognition, and Data Visualization.\";s:5:\"thumb\";s:66:\"images/t/3075/data-mining-and-statistics-what-s-the-connection.jpg\";s:6:\"thumb2\";s:67:\"images/t2/3075/data-mining-and-statistics-what-s-the-connection.jpg\";s:9:\"permalink\";s:48:\"data-mining-and-statistics-what-s-the-connection\";s:5:\"pages\";s:1:\"7\";s:6:\"rating\";s:1:\"0\";s:5:\"voter\";s:1:\"0\";}}', `cache_on` = '2015-02-28 00:21:46' WHERE `aff_id` = '441353'