DATA MINING WITH BIG DATA REVOLUTION HYBRID
نویسندگان
چکیده
منابع مشابه
Big Data: The Management Revolution
Consider retailing. Booksellers in physical stores could always track which books sold and which did not. If they had a loyalty program, they could tie some of those purchases to individual customers. And that was about it. Once shopping moved online, though, the understanding of customers increased dramatically. Online retailers could track not only what customers bought, but also what else th...
متن کاملAwaiting the second big data revolution
“Big data” has been heralded as the agent of a third industrial revolution–one with raw materials measured in bits, rather than tons of steel or barrels of oil. Yet the industrial revolution transformed not just how firms made things, but the fundamental approach to value creation in industrial economies. To date, big data has not achieved this distinction. Instead, today’s successful big data ...
متن کاملData Mining Application for Big Data Analysis
Data mining is the application of specific algorithms for extracting patterns from data. Big Data is a new term used to identify the datasets that due to their large size and complexity, we cannot manage them with our current methodologies or data mining software tools. Big Data mining is the capability of extracting useful information from these large datasets or streams of data, that due to i...
متن کاملData Partitioning View of Mining Big Data
There are two main approximations of mining big data in memory. One is to partition a big dataset to several subsets, so as to mine each subset in memory. By this way, global patterns can be obtained by synthesizing all local patterns discovered from these subsets. Another is the statistical sampling method. This indicates that data partitioning should be an important strategy for mining big da...
متن کاملVarious Data-Mining Techniques for Big Data
Big data is the word used to describe structured and unstructured data. The term big data is originated from the web search companies who had to query loosely structured very large
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal on Smart Sensing and Intelligent Systems
سال: 2017
ISSN: 1178-5608
DOI: 10.21307/ijssis-2017-270