The intent of this book is to describe some recent data mining tools that
have proven effective in dealing with data sets which often involve uncertain description or other complexities that cause difficulty for the conventional approaches of logistic regression, neural network models, and decision trees. We have organized the material into three parts. Part I introduces concepts. Part II contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining. The book will include short vignettes of how specific concepts have been applied in real practice. A series of representative data sets will be generated to demonstrate specific methods and concepts. References to data mining software and sites such as www.kdnuggets.com will be provided.
Nội dung trích xuất từ tài liệu:
Ebook Advanced data mining techniques
Ebook Advanced data mining techniques
Số trang: 182
Loại file: pdf
Dung lượng: 1.07 MB
Lượt xem: 25
Lượt tải: 0
Thông tin tài liệu:
Tìm kiếm theo từ khóa liên quan:
Ebook Advanced data mining techniques Data mining Data mining process Memory-based reasoning methods Fuzzy sets in data mining Support vector machinesTài liệu có liên quan:
-
17 trang 188 0 0
-
Xây dựng các cặp câu hỏi - câu trả lời chất lượng cao từ các trang Web hỏi đáp cộng đồng
9 trang 125 0 0 -
Bài giảng Khai phá dữ liệu (Data mining): Chương 8 - ĐH Bách khoa TP.HCM
8 trang 59 0 0 -
Ebook Symbolic data analysis and the SODAS software
478 trang 52 0 0 -
Bài giảng Khai phá dữ liệu (Data mining): Clustering - Trịnh Tấn Đạt
70 trang 45 0 0 -
Lecture Data mining: Lesson 19
27 trang 44 0 0 -
Ebook Data warehousing and data mining
88 trang 43 0 0 -
60 trang 43 0 0
-
36 trang 43 0 0
-
Partition fuzzy domain with multi granularity representation data based on hedge algebra approach
13 trang 41 0 0
