Cluster Analysis for Data Mining and System Identification
Language: English
Published by Birkhäuser Basel, 2007
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
£ 82.32
Quantity: Over 20 available
Add to basketItem description from seller
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Detailed overview of the most powerful algortihms and approaches for data mining and system identification is presentedExtensive references give a good overview of the current state of the application of computational intelligence in data mining a.
Seller Inventory # 5279780
- Title
- Cluster Analysis for Data Mining and System Identification
- Author
- János Abonyi|Balázs Feil
- Publisher
- Birkhäuser Basel
- Publication year
- 2007
- Condition
- New
- Binding
- Gebunden
- Language
- English
- ISBN 10
- 3764379871
- ISBN 13
- 9783764379872
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. It can also be used for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. This book is oriented to undergraduate and postgraduate and is well suited for teaching purposes.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book presents new approaches to data mining and system identification. Algorithms that can be used for the clustering of data have been overviewed. New techniques and tools are presented for the clustering, classification, regression and visualization of complex datasets. Special attention is given to the analysis of historical process data, tailored algorithms are presented for the data driven modeling of dynamical systems, determining the model order of nonlinear input-output black box models, and the segmentation of multivariate time-series. The main methods and techniques are illustrated through several simulated and real-world applications from data mining and process engineering practice.
The book is aimed primarily at practitioners, researches, and professionals in statistics, data mining, business intelligence, and systems engineering, but it is also accessible to graduate and undergraduate students in applied mathematics, computer science, electrical and process engineering. Familiarity with the basics of system identification and fuzzy systems is helpful but not required.
Key features:
- Detailed overview of the most powerful algorithms and approaches for data mining and system identification is presented.
- Extensive references give a good overview of the current state of the application of computational intelligence in data mining and system identification, and suggest further reading for additional research.
- Numerous illustrations to facilitate the understanding of ideas and methods presented.
- Supporting MATLAB files, available at the website www.fmt.uni-pannon.hu/softcomp create a computational platform for exploration and illustration of many concepts and algorithms presented in the book.
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 16 to 45 business days | 16 to 45 business days |
|---|---|---|
| First item | £ 42.10 | £ 42.10 |
Payment methods
- Bank Wire Transfer
- Check
- Paypal
Store description
Online Handel nur mit Neubüchern
Seller's business information
Moluna GmbH
Engberdingdamm 27
Greven, Germany 48268
Terms of sale
About Us
Legal website operator identification:
Moluna GmbH
Represented by the general manager Helge Blischke
Engberdingdamm 27
48268 Greven
Germany
Telephone: 02571/5698933
Telefax: 02571/5698930
E-Mail: abe@moluna.de
VAT No.: DE296281834
listed in the commercial register of the local court Steinfurt
Commercial register number - Part B of the commercial register - 10553
We are a member of the initiative „FairCommerce“ since 24.07.2015.
For more information, see: www.haendlerbund.de/faircommerce.
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to moluna, Greven, Germany, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.