Data mining techniques and applications — A decade review

Data mining is also known as Knowledge Discovery in Database (KDD). It is also defined as the process which includes extracting the interesting, interpretable and useful information from the raw data. There are different sources that generate raw data in very large amount. This is the main reason the applications of data mining are increasing rapidly. This paper reviews data mining techniques and its applications such as educational data mining (EDM), finance, commerce, life sciences and medical etc. We group existing approaches to determine how the data mining can be used in different fields. Our categorization specifically focuses on the research that has been published over the period 2007–2017. With this categorization, we present an easy and concise view of different models adapted in the data mining.

[1]  Boris Motik,et al.  Web Semantics: Science, Services and Agents on the World Wide Web , 2008 .

[2]  Nada Lavrac,et al.  Selected techniques for data mining in medicine , 1999, Artif. Intell. Medicine.

[3]  Walid Mohamed Aly,et al.  An Educational Data Mining System for Advising Higher Education Students , 2013 .

[4]  Heiko Paulheim,et al.  Semantic Web in data mining and knowledge discovery: A comprehensive survey , 2016, J. Web Semant..

[5]  Olfa Nasraoui,et al.  Web Usage Mining , 2011 .

[6]  Chen-Fu Chien,et al.  Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry , 2008, Expert Syst. Appl..

[7]  Paul Baepler,et al.  Academic Analytics and Data Mining in Higher Education , 2010 .

[8]  Yannis Manolopoulos,et al.  Data Mining techniques for the detection of fraudulent financial statements , 2007, Expert Syst. Appl..

[9]  Shiguo Wang,et al.  A Comprehensive Survey of Data Mining-Based Accounting-Fraud Detection Research , 2010, 2010 International Conference on Intelligent Computation Technology and Automation.

[10]  Shu-Hsien Liao,et al.  Data mining techniques and applications - A decade review from 2000 to 2011 , 2012, Expert Syst. Appl..

[11]  Le Gruenwald,et al.  A survey of data mining and knowledge discovery software tools , 1999, SKDD.

[12]  M. Tech,et al.  DATA MINING TECHNIQUES: A SURVEY PAPER , 2013 .

[13]  Shahram Tahmasebian,et al.  Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other , 2016, Journal of renal injury prevention.

[14]  Manoj Kumar Tiwari,et al.  Data mining in manufacturing: a review based on the kind of knowledge , 2009, J. Intell. Manuf..

[15]  B.D. Pitt,et al.  Application of data mining techniques to load profiling , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[16]  Lehana Thabane,et al.  Application of data mining techniques in pharmacovigilance. , 2003, British journal of clinical pharmacology.

[17]  Kesheng Wang,et al.  Applying data mining to manufacturing: the nature and implications , 2007, J. Intell. Manuf..

[18]  Jiawei Han.  Data mining techniques , 1996, SIGMOD '96.

[19]  Philip S. Yu,et al.  Data Mining: An Overview from a Database Perspective , 1996, IEEE Trans. Knowl. Data Eng..

[20]  Bharati M. Ramageri.  DATA MINING TECHNIQUES AND APPLICATIONS , 2011 .

[21]  Panagiotis G. Ipeirotis,et al.  Get another label? improving data quality and data mining using multiple, noisy labelers , 2008, KDD.

[22]  Howard J. Hamilton,et al.  Interestingness measures for data mining: A survey , 2006, CSUR.

[23]  H Du,et al.  Data Mining Techniques and Applications , 2010 .

[24]  Michael J. Shaw,et al.  Knowledge management and data mining for marketing , 2001, Decis. Support Syst..

[25]  Weiguo Fan,et al.  Tapping the power of text mining , 2006, CACM.

[26]  Yong Hu,et al.  The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature , 2011, Decis. Support Syst..

[27]  Jaideep Srivastava,et al.  Web usage mining , 2000 .

[28]  Erhan Guven,et al.  A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection , 2016, IEEE Communications Surveys & Tutorials.

[29]  Mu-Chen Chen,et al.  Credit scoring with a data mining approach based on support vector machines , 2007, Expert Syst. Appl..

[30]  Sebastián Ventura,et al.  Educational Data Mining: A Review of the State of the Art , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[31]  David C. Yen,et al.  Applying data mining to telecom churn management , 2006, Expert Syst. Appl..

[32]  Hans-Peter Kriegel,et al.  Future trends in data mining , 2007, Data Mining and Knowledge Discovery.

[33]  Jeremy Mennis,et al.  Spatial data mining and geographic knowledge discovery - An introduction , 2009, Comput. Environ. Urban Syst..

[34]  Kalyanmoy Deb,et al.  Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey , 2017, Expert Syst. Appl..

[35]  Haruna Chiroma,et al.  Data Mining for Education Decision Support: A Review , 2014, Int. J. Emerg. Technol. Learn..

[36]  Ms. Ishtake.  " Intelligent Heart Disease Prediction System Using Data Mining Techniques " , .

[37]  Francisco Herrera,et al.  A survey on data preprocessing for data stream mining: Current status and future directions , 2017, Neurocomputing.

[38]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[39]  Padhraic Smyth,et al.  Business applications of data mining , 2002, CACM.

[40]  Padhraic Smyth,et al.  From Data Mining to Knowledge Discovery in Databases , 1996, AI Mag..

[41]  Blaz Zupan,et al.  Predictive data mining in clinical medicine: Current issues and guidelines , 2008, Int. J. Medical Informatics.

[42]  István Vajk,et al.  Frequent Pattern Mining in Web Log Data , 2006 .

[43]  Sung Ho Ha,et al.  Application of data mining tools to hotel data mart on the Intranet for database marketing , 1998 .

[44]  Bernard Kamsu-Foguem,et al.  Data mining techniques on satellite images for discovery of risk areas , 2017, Expert Syst. Appl..

[45]  Yuen-Hsien Tseng,et al.  Text mining techniques for patent analysis , 2007, Inf. Process. Manag..