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Books > Computing & IT > Applications of computing > Databases > Data mining
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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media (Paperback)
Loot Price: R4,997
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Data Mining Approaches for Big Data and Sentiment Analysis in Social Media (Paperback)
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Social media sites are constantly evolving with huge amounts of
scattered data or big data, which makes it difficult for
researchers to trace the information flow. It is a daunting task to
extract a useful piece of information from the vast unstructured
big data; the disorganized structure of social media contains data
in various forms such as text and videos as well as huge real-time
data on which traditional analytical methods like statistical
approaches fail miserably. Due to this, there is a need for
efficient data mining techniques that can overcome the shortcomings
of the traditional approaches. Data Mining Approaches for Big Data
and Sentiment Analysis in Social Media encourages researchers to
explore the key concepts of data mining, such as how they can be
utilized on online social media platforms, and provides advances on
data mining for big data and sentiment analysis in online social
media, as well as future research directions. Covering a range of
concepts from machine learning methods to data mining for big data
analytics, this book is ideal for graduate students, academicians,
faculty members, scientists, researchers, data analysts, social
media analysts, managers, and software developers who are seeking
to learn and carry out research in the area of data mining for big
data and sentiment.
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