Data Warehousing and Data Mining Laboratory

ISBN-13: 9786206162230 / Angielski / Miękka / 68 str.

RAGHAVA RAO N

Opis

Analyzing large amounts of data is a necessity. Even popular science books, like "super crunchers," give compelling cases where large amounts of data yield discoveries and intuitions that surprise even experts. Every enterprise benefits from collecting and analyzing its data: Hospitals can spot trends and anomalies in their patient records, search engines can do better ranking and ad placement, and environmental and public health agencies can spot patterns and abnormalities in their data. The list continues, with cybersecurity and computer network intrusion detection; monitoring of the energy consumption of household appliances; pattern analysis in bioinformatics and pharmaceutical data; financial and business intelligence data; spotting trends in blogs, Twitter, and many more. Storage is inexpensive and getting even less so, as are data sensors. Thus,collecting and storing data is easier than ever before.

O autorze

N. Raghava Rao has 15 years of teaching experience. Hhe is currently working with Institute of Aeronautical Engineering Dundigal, Hyderabad, Pune. Hhe holds post graduate degree in M. Tech, qualified TS-SET in computer science and application and now pursuing Ph.D. in computer science and Engineering in in Machine Learning domain.