000 | 01464nam a22001697a 4500 | ||
---|---|---|---|
999 |
_c297098 _d297098 |
||
020 | _a9781138500815 | ||
082 | _a005.7 AHM-D | ||
100 | _a Mohiuddin Ahmed | ||
245 | _aData Analytics: Concepts, Techniques, and Applications | ||
260 |
_a Boca Raton _bCRC Press, Taylor & Francis Group, _c2019 |
||
300 | _a xxiii, 425 pages ; 24 cm | ||
505 | _aPart 1: Introduction to Data Analytics. 1. Techniques. 2. Classification. 3. Clustering. 4. Anomaly Detection. 5. Pattern Mining. Part 2: Tools for Data Analytics. 6. R. Hadoop. 7. Spark. 8. Rapid Miner. Part 3: Applications. 9. Health Care. 10. Internet of Things. 11. Cyber Security. Part 4: Futuristic Applications and Challenges. | ||
520 | _aLarge data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies. | ||
650 | _a Quantitative research. Big data. | ||
700 | _aAl-Sakib Khan Pathan | ||
942 | _cBK |