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A programmer's guide to data mining / Authored by Henrieta Corwan.

By: Mountain View California, USA : AcademiQ Infomedia LLC, ©2022Description: 248 pages : color illustrations ; 24 cmISBN:
  • 9781645341307
Subject(s): DDC classification:
  • 23 006.312 C81 2022
Contents:
01 Introduction to Data Mining 02 Data Mining Techniques 03 Data Visualization and Processing 04 Statistics in Data Mining 05 Python and Data Mining 06 Algorithms of Data Mining 07 Naive Bays 08 Cluster Analysis 09 Anomalies 10 Data Cube Technology 11 Data Mining Trends and Research Frontiers
Summary: A Programmer's Guide to Data Mining offers an in-depth look into the field of data mining. Apart from the important concepts in data mining, the book will also explain these concepts with the help of Python, which is one of the most popular programming languages. You will also be taken step-by-step through the code for better understanding. Along with the conceptual and practical description of clustering and anomaly detection, you will help then be able to use these data mining concepts in other fields.
Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books College Library General Circulation Section GC GC 006.312 C81 2022 (Browse shelf(Opens below)) Checked out 06/30/2025 HNU004324

Includes bibliographical references and index.

01 Introduction to Data Mining
02 Data Mining Techniques
03 Data Visualization and Processing
04 Statistics in Data Mining
05 Python and Data Mining
06 Algorithms of Data Mining
07 Naive Bays
08 Cluster Analysis
09 Anomalies
10 Data Cube Technology
11 Data Mining Trends and Research Frontiers

A Programmer's Guide to Data Mining offers an in-depth look into the field of data mining. Apart from the important concepts in data mining, the book will also explain these concepts with the help of Python, which is one of the most popular programming languages. You will also be taken step-by-step through the code for better understanding. Along with the conceptual and practical description of clustering and anomaly detection, you will help then be able to use these data mining concepts in other fields.

College of Engineering and Computer Studies Bachelor of Science in Computer Science

College of Engineering and Computer Studies Bachelor of Science in Information Technology

In English

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