Browsing by Subject Data mining

Showing results 1 to 18 of 18
Issue DateTitleSub-TitleAuthor(s)Journal NameVolume NumberIssue NumberPages
2005A relatedness-based data-driven approach to determination of interestingness of association rules-Natarajan, Rajesh ; Shekar, B Vol.1551-552p.
2013A study of different text mining softwares, algorithms and industrial applications of text mining-Yarlagadda, Ritesh ; Singh, Suresh 23p.
2003A taxonomy-based approach to determining generic interestingness of association rules-Natarajan, Rajesh ; Shekar, B Vol.3703-707p.
2004A transaction-based neighbourhood-driven approach to quantifying interestingness of association rules-Shekar, B ; Natarajan, Rajesh 194-201p.
2007Aadvantage segmentation redevelopment: Citi GDM-Ahmed Khan, S Fahad 15p.
2018Affordance-based interestingness in augmented association rule mining-Sethi, Rupal 153p.
2020Application of nudge theory in conjunction with data mining to improve tax compliance-Singh, Harsh 38p.
2007Building an excel-based pricer for overnight indexed swaps and Data mining for the wholesale price index: DSP Merril Lynch, Mumbai-Peesapati, Vikash Murthy 15p.
2016Business insights for an enterprise software product through data mining-Narayanan, Harikumar ; Naresh, Rakshith 93p.
2015Data analysis using machine learning and data mining-Sharma, Vaibhav 19p.
2015Data mining for CRM based on telecom user data-Shalini Narasipur ; Sreenhija C. 32p.
2011Developing econometrics-Tong, Hengqing ; Huang, Yangxin ; Krishna Kumar, Telikicherla xviii, 467p.
2006Development of hybrid classification methodology for mining skewed data sets: A case study of Indian customs data-Kumar, Anuj ; Nagadevara, Vishnuprasad Vol.2006584-591p.
2005Interesting knowledge patterns in databases-Natarajan, Rajesh ; Shekar, B 297-304p.
2006Investigations into relatedness-based interestingness of association rules: a transaction-driven analysis-Shekar, B ; Natarajan, Rajesh 522-527p.
2009Marketing strategy and data mining-Kiran, R. 35p.
2012Model for predicting defaulters on a mortgage loan-Anandvardhan, S. ; Rajappa, Prasanna 25p.
2011To what extent data mining of social media can be applied to anticipate cinematic incomes?-Braun, Celine ; Barbier, Oliver 63p.