The future of data mining / Cem Ufuk Baytar, PhD, editor.

Other author Lai, Wing-Fu.
Format Electronic
Publication InfoNew York : Nova Science Publishers, [2022]
Descriptionviii, 142 pages : illustrations ; 23 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

SeriesResearch methodology and data analysis
Contents Data analytics applied to the human resources industry / C. Ufuk Baytar -- Toxicogenomics data mining as a promising priortization tool in toxicity testing / Dajijela Đukić-Ćosić et al. -- Applications of data mining algorithms for customer recommendations in retail marketing / Elif Delice et al. -- Analysis of customer churn in banking industry using data mining / Özge Doǧuc̣ -- The crowdsourcing concept-based data mining approach applied in prosumer microgrids / B.C. Negu et al. -- Active learning / Jože M. Rožanec et al. -- Prediction of general anxiety disorder using machine learning techniques - Kevser Ṣahinbaṣ.
Abstract "The purpose of this book is to discuss data mining, which is a subset of data science, from a variety of perspectives. With the technological advances of recent years, new software and hardware-based systems are available in most business environments. With these systems, data production continues to increase in personal, corporate, commercial and many other areas. Information systems convert raw data, which alone are not so meaningful, into information after the processes are applied. Database systems are necessary for the storage and management of the information generated. Revealing meaningful relationships hidden in a stack of high-volume data shows the function of data mining. Processing big data has become important to produce information that will support business decisions and be a strategic tool in today's competitive environment. In this context, the effectiveness of data mining applications is increasing day by day as a decision support system to develop marketing strategies in every sector by identifying customer behavior and target groups"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022045727
ISBN9798886972504
ISBN(adobe pdf)

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