TY  - BOOK
AU  - Corwan, Henrieta,
TI  - A programmer's guide to data mining
SN  - 9781645341307
U1  - 006.312 C81 23
PY  - 2022///
CY  - Mountain View California, USA
PB  - AcademiQ Infomedia LLC
KW  - Data mining
N1  - 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; COECS; Bachelor of Science in Computer Science; COECS; Bachelor of Science in Information Technology
N2  - 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
ER  -