你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Data Analysis and Pattern Recognition in Multiple Databases
Type
Physical Book
Author
Publisher
Language
English
Pages
238
Format
Paperback
Dimensions
23.4 x 15.6 x 1.4 cm
Weight
0.36 kg.
ISBN13
9783319377278
Categories

Data Analysis and Pattern Recognition in Multiple Databases

Witold Pedrycz (Author) · Animesh Adhikari (Author) · Jhimli Adhikari (Author) · Springer · Paperback

Data Analysis and Pattern Recognition in Multiple Databases - Adhikari, Animesh ; Adhikari, Jhimli ; Pedrycz, Witold

Cheaper New Book Imported to Taiwan
Delivery: 16 Sep - 29 Sep Shipping: 12 to 16 business days.
NT$ 3,418
Faster New Book Imported to Taiwan
Delivery: 04 Sep - 14 Sep Shipping: 4 to 5 business days.
NT$ 4,642
NT$ 3,418

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Data Analysis and Pattern Recognition in Multiple Databases"

Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews