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1. 
Cover image for Data wrangling : concepts, applications and tools
Data wrangling : concepts, applications and tools
Author 
Niranjanamurthy, M., editor. Sheoran, Kavita, editor. Dhand, Geetika, editor. Kaur, Prabhjot, editor.
Preferred Shelf Number 
QA76.9 .D345 D38 2023
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119879862
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2. 
Cover image for Data mining concepts and techniques
Data mining concepts and techniques
Author 
Han, Jiawei. Kamber, Micheline. Pei, Jian, Ph. D.
Preferred Shelf Number 
ONLINE
Electronic Access 
EBSCOhost http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=377411
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3. 
Cover image for Data mining concepts, models, methods, and algorithms
Data mining concepts, models, methods, and algorithms
Author 
Kantardzic, Mehmed. Wiley InterScience (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
IEEE Xplore http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6105606
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4. 
Cover image for Data mining concepts, models, methods, and algorithms
Data mining concepts, models, methods, and algorithms
Author 
Kantardzic, Mehmed.
Preferred Shelf Number 
ONLINE
Electronic Access 
IEEE Xplore http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5265979
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5. 
Cover image for From concepts to code : introduction to data science
From concepts to code : introduction to data science
Author 
Tashman, Adam P., author.
Preferred Shelf Number 
QA76.9 .D343
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003403982
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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6. 
Cover image for Introduction to Data Science A Python Approach to Concepts, Techniques and Applications
Introduction to Data Science A Python Approach to Concepts, Techniques and Applications
Author 
Igual, Laura. author. Seguí, Santi. author. SpringerLink (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
https://doi.org/10.1007/978-3-031-48956-3
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7. 
Cover image for Text Mining Concepts, Implementation, and Big Data Challenge
Text Mining Concepts, Implementation, and Big Data Challenge
Author 
Jo, Taeho. author. SpringerLink (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
https://doi.org/10.1007/978-3-031-75976-5
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8. 
Cover image for Advances in data science and analytics : concepts and paradigms
Advances in data science and analytics : concepts and paradigms
Author 
Niranjanamurthy, M., editor. Gianey, Hemant Kumar, editor. Gandomi, Amir H., editor.
Preferred Shelf Number 
QA76.9 .D343 A38 2023
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119792826
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9. 
Cover image for Process mining techniques for pattern recognition : concepts, theory, and practice
Process mining techniques for pattern recognition : concepts, theory, and practice
Author 
Yadav, Vikash, editor.
Preferred Shelf Number 
TA168
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003169550
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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10. 
Cover image for Text Mining Concepts, Implementation, and Big Data Challenge
Text Mining Concepts, Implementation, and Big Data Challenge
Author 
Jo, Taeho. author. SpringerLink (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
https://doi.org/10.1007/978-3-319-91815-0
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11. 
Cover image for Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
Understanding and Using Rough Set Based Feature Selection: Concepts, Techniques and Applications
Author 
Raza, Muhammad Summair. author. Qamar, Usman. author. SpringerLink (Online service)
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ONLINE
Electronic Access 
https://doi.org/10.1007/978-981-10-4965-1
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12. 
Cover image for Introduction to Data Science A Python Approach to Concepts, Techniques and Applications
Introduction to Data Science A Python Approach to Concepts, Techniques and Applications
Author 
Igual, Laura. author. Seguí, Santi. author. SpringerLink (Online service)
Preferred Shelf Number 
ONLINE
Electronic Access 
https://doi.org/10.1007/978-3-319-50017-1
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