Data Mining: Various Issues and Challenges for Future A Short discussion on Data Mining issues for future work
Anmol Kumar, Amit Kumar Tyagi, Surendra Tyagi · 2014
Generally mining of data is a well-known technique for automatically and intelligently extracting information or knowledge from a large amount of data, however, it can also disclosure sensitive information about individuals compromising the individual's right to privacy.It is a process to extract the implicit information;knowledge which is potentially useful and people do not know in advance, and this extraction is from the mass, incomplete, noisy, fuzzy and random data.Therefore, privacy preserving has becoming an increasingly important field of research. Now aday, Data mining is emerging area to extract implicit and useful knowledgeand also recognized as an important technology for businesses internationally and locally. In recent years, with the explosive development in Internet, data storage and data processing technologies, privacy preservation has been one of the greater concerns in data mining.Data mining is a multidisciplinary field, drawing work from areas including database technology, machine learning, statistics, pattern recognition, information retrieval, neural networks, knowledge-based systems, artificial intelligence, high-performance computing, and data visualization. Undoubtedly, research in data mining will continue and even increase over coming decades. Hence this paper sketches vision of the future workto done inarea of data mining. This paper elaborate various topics (starting from the classic definition of datamining and its basic terms)included variousfuture challenges and issues in data mining which is important to do further more research in this emerging field.