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1.
Machine Learning for Data Streams with Practical Examples in MOA by
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2.
Machine Learning for Data Streams with Practical Examples in MOA by
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3.
From Opinion Mining to Financial Argument Mining by
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4.
Big Data Research for Social Sciences and Social Impact by
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5.
Data Mining in Smart Grids by
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6.
Cyber Security 18th China Annual Conference, CNCERT 2021, Beijing, China, July 20–21, 2021, Revised Selected Papers by
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7.
Knowledge Graphs and Big Data Processing by
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8.
Open Data and Energy Analytics by
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9.
Representation Learning for Natural Language Processing by
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10.
Practical graph mining with R edited by, Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, Arpan Chakraborty. by Series: Chapman & Hall/CRC data mining and knowledge discovery series
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: Boca Raton, CRC Press, 2014
Availability: Items available for loan: Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre (1)Call number: 006.312R SAM/P.

11.
Data science and predictive analytics: Biomedical and health applications using R Ivo D Dinov by
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: Switzerland, Springer, 2018
Availability: Items available for loan: Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre (1)Call number: 006.312 DIN/D.

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Data Science for Economics and Finance Methodologies and Applications by
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14.
Advances in Computational Intelligence Applications in the Mining Industry by
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15.
Detection of DDoS Attacks Using Data Mining: Data Clustering by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: MSCS 2016-2018 INT
Availability: Items available for reference: IIITM-K: Not for loan (1).

16.
At the Crossroads: Lessons and Challenges in Computational Social Science by
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17.
Chapter AI for Improving the Overall Equipment Efficiency in Manufacturing Industry by
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18.
Data and Text Processing for Health and Life Sciences by
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19.
Researching Internet Governance Methods, Frameworks, Futures by
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20.
Big Data in Context: Legal, Social and Technological Insights by
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