Information-Statistical Data Mining: Warehouse Integration With Examples of Oracle Basics (Kluwer International Series in Engineering and Computer Science)

Rating:
Summary: Highly Recommended
Review: As storage technologies continue to improve and lessen in cost, data mining is becoming an increasingly important activity for all types of enterprises and industries. I have read and reviewed many books in this field, but none have presented the key concepts as well as new research together with examples for their proper use as this book. I highly recommend this book for anyone and everyone interested in this field.

Rating:
Summary: An excellent book
Review: No matter one is a beginner or an expert in the field of data mining,"Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics" is really a great hand book. The book is written in plain English to explain the terminologies and the concept of patterns for data mining --- making it easier for readers to understand the basic and advanced data mining concepts. Also, it shows clearly how data mining theories are realized in software implementation, how the implementation is applied to a variety of data sets in different disciplines, and how one can gain knowledge from the valuable information obtained from the process of data mining. Furthermore, it also discussed the way to interpret and to
evaluate the quality of information resulting from the process of data mining. I particularly like the real world case study examples that help me to understand the data mining principles discussed in the book, and to draw me in further into the field. This book is well organized. I strongly recommend the book!

Rating:
Summary: An excellent book
Review: No matter one is a beginner or an expert in the field of data mining,"Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics" is really a great hand book. The book is written in plain English to explain the terminologies and the concept of patterns for data mining --- making it easier for readers to understand the basic and advanced data mining concepts. Also, it shows clearly how data mining theories are realized in software implementation, how the implementation is applied to a variety of data sets in different disciplines, and how one can gain knowledge from the valuable information obtained from the process of data mining. Furthermore, it also discussed the way to interpret and to
evaluate the quality of information resulting from the process of data mining. I particularly like the real world case study examples that help me to understand the data mining principles discussed in the book, and to draw me in further into the field. This book is well organized. I strongly recommend the book!