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Integrating data cleansing with popular culture : a novel SQL character data tutorial

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Optimizing frequent time-window selection for association rules mining in a temporal database using a variable neighbourhood search

Xiao, Yiyong; Tian, Yun; Zhao, Qiu Hong - In: Computers & operations research : and their … 52 (2014), pp. 241-250

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FRED-MD : a monthly database for macroeconomic research

McCracken, Michael W.; Ng, Serena - 2015

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Semantic mining technologies for multimedia databases

Li, Xuelong (contributor); Tao, Dacheng (contributor); … - 2009

database retrieval / Haibin Ling, David W. Jacobs -- Similarity learning for motion estimation / Shaohua Kevin Zhou ... [et al … of semantic mining on biological process engineering / Hossam A Gabbar, Naila Mahmut -- Intuitive image database …

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Integrations of data warehousing, data mining and database technologies : innovative approaches

Taniar, David (contributor); Chen, Li. (contributor) - 2011

data warehousing and data mining, with emphasis on the applicability to real world problems"--Provided by publisher. …

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Framework for a hospitality big data warehouse : the implementation of an efficient hospitality business intelligence system

Ramos, Célia M. Q.; Martins, Daniel Jorge; Serra, Francisco - In: International journal of information systems in the … 9 (2017) 2, pp. 27-45

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The data industry : the business and economics of information and big data

Tang, Chunlei - 2016

An introduction of the data industry to the field of economics This book bridges the gap between economics and data science to help data scientists understand the economics of big data, and enable economists to analyze the data industry. It begins by explaining data resources and introduces the...

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A new methodology for mining frequent itemsets on temporal data

Ghorbani, Mazaher; Abessi, Masoud - In: IEEE transactions on engineering management : EM 64 (2017) 4, pp. 566-573

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Securing web applications from SQLIA using progressive detector

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Analysis and evaluation of a framework for sampling database in recommenders

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