Description: Machine Learning and Data Mining in Pattern Recognition by Petra Perner Estimated delivery 3-12 business days Format Paperback Condition Brand New Description The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Publisher Description There is no royal road to science, and only those who do not dread the fatiguing climb of its steep paths have a chance of gaining its luminous summits. Karl Marx A Universial Genius of the 19th Century Many scientists from all over the world during the past two years since the MLDM 2007 have come along on the stony way to the sunny summit of science and have worked hard on new ideas and applications in the area of data mining in pattern r- ognition. Our thanks go to all those who took part in this years MLDM. We appre- ate their submissions and the ideas shared with the Program Committee. We received over 205 submissions from all over the world to the International Conference on - chine Learning and Data Mining, MLDM 2009. The Program Committee carefully selected the best papers for this years program and gave detailed comments on each submitted paper. There were 63 papers selected for oral presentation and 17 papers for poster presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Among these topics this year were special contributions to subtopics such as attribute discre- zation and data preparation, novelty and outlier detection, and distances and simila- ties. Details ISBN 3642030696 ISBN-13 9783642030697 Title Machine Learning and Data Mining in Pattern Recognition Author Petra Perner Format Paperback Year 2009 Pages 824 Edition 2009th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:151478134; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 141.6 USD
Location: Fairfield, Ohio
End Time: 2024-02-19T03:20:27.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Refund will be given as: Money Back
ISBN-13: 9783642030697
Book Title: Machine Learning and Data Mining in Pattern Recognition
Item Length: 9.3in
Item Width: 6.1in
Author: Petra Perner
Publication Name: Machine Learning and Data Mining in Pattern Recognition : 6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25, 2009, Proceedings
Format: Trade Paperback
Language: English
Publisher: Springer Berlin / Heidelberg
Series: Lecture Notes in Computer Science Ser.
Publication Year: 2009
Type: Textbook
Item Weight: 44.6 Oz
Number of Pages: Xiv, 824 Pages
