International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,February 2018,

Topic : Data Mining Techniques for Online Communities

Authors:Saloni Fathima || A.Rajesh

Abstract:Data mining techniques can be applied to any type of old or new data, each of which can be best dealt with using specific technologies (not requiring all of them).In other words, data mining techniques are limited by data types, data set sizes, and task application environments. Each data set has its own suitable data mining solution. Data mining practitioners often face problems of the unavailability of all training data at the same time and the inability to process a large amount of data due to constraints such as lack of adequate system memory. Once older data mining techniques cannot be applied to new data types or if new data types cannot be converted to traditional data types, new data mining techniques will always need to be explored. The most popular and most basic form of data from the database, data warehouse, orderly data or sequence data, graphics data and text data. In other words, they are joint data, high-dimensional data, longitudinal data, streaming data, web data, numerical data, categorical data, or textual data..

Keywords: Abstractive summary, extractive summary, Keyword Extraction, Natural language processing, Text Summarization

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DOI: 01.1617/vol5/iss2/pid21369


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
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