mostraligabue
» » Advances in Data Mining: Applications in E-Commerce, Medicine, and Knowledge Management (Lecture Notes in Computer Science)

ePub Advances in Data Mining: Applications in E-Commerce, Medicine, and Knowledge Management (Lecture Notes in Computer Science) download

by Petra Perner

ePub Advances in Data Mining: Applications in E-Commerce, Medicine, and Knowledge Management (Lecture Notes in Computer Science) download
Author:
Petra Perner
ISBN13:
978-3540441168
ISBN:
3540441166
Language:
Publisher:
Springer; 2002 edition (October 3, 2002)
Category:
Subcategory:
Computer Science
ePub file:
1673 kb
Fb2 file:
1540 kb
Other formats:
mbr azw lrf rtf
Rating:
4.5
Votes:
134

This book presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine . Data Mining of Association Rules and the Process of Knowledge Discovery in Databases.

This book presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine, and knowledge management.

Institute of Computer Vision and applied Computer Sciences IBaI. The effect of context on misclassification costs in e-commerce applications. October 2013 · Expert Systems with Applications. Do you want to read the rest of this article? Request full-text. Citations (4). References (0). Newly Developed Nature-Inspired Algorithms and Their Applications on Recommendation Systems.

and Knowledge Management The main purpose of this paper is to study the process of Web mining techniques and its application in e-commerce applications

Advances in Data Mining, Applications in E-Commerce, Medicine, and Knowledge Management. Gholamreza Nakhaeizadeh. The main purpose of this paper is to study the process of Web mining techniques and its application in e-commerce applications

Knowledge discovery on the basis of web data is a wide and fast growing area. This book presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine, and knowledge management

Knowledge discovery on the basis of web data is a wide and fast growing area. Other applications are telelearning, teleteaching, service support, and citizen information systems. This book presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine, and knowledge management.

Papers (Lecture Notes in Computer Science). Petra Perner, Ovidio Salvetti. and semantic tagging of images from life science applications. description and feature extraction of texture, structure and location, image segmentation algorithms, parallelization of image analysis and semantic tagging of images from life science applications.

Advances in Data Mining book. Kindle Notes & Highlights.

The workshop Data Mining in Life Science DMLS 2008 was held the third time this year and the workshop Data .

The workshop Data Mining in Life Science DMLS 2008 was held the third time this year and the workshop Data Mining in Marketing DMM 2008 ran for the second time this year. Additionally, we introduced an International Workshop on Case-Based Reasoning for Multimedia Data CBR-MD.

Lecture Notes in Computer Science is a series of computer science books published by Springer Science+Business Media since 1973. The series contains proceedings, post-proceedings, and monographs. In addition, tutorials, state-of-the-art surveys, and "hot topics" are increasingly being included. Two sub-series are: Lecture Notes in Artificial Intelligence. Lecture Notes in Bioinformatics. Monographiae Biologicae, another monograph series published by Springer Science+Business Media.

This book presents papers describing selected projects on the topic of data mining in fields like e commerce, medicine, and knowledge management. The objective is to report on current results and at the same time to give a review on the present activities in this field in Germany. An effort has been made to include the latest scientific results, as well as lead the reader to the various fields of activity and the problems related to them. Knowledge discovery on the basis of web data is a wide and fast growing area. E commerce is the principal theme of motivation in this field, as companies invest large sums in the electronic market, in order to maximize their profits and minimize their risks. Other applications are telelearning, teleteaching, service support, and citizen information systems. Concerning these applications, there is a great need to understand and support the user by means of recommendation systems, adaptive information systems, as well as by personalization. In this respect Giudici and Blanc present in their paper procedures for the generation of associative models from the tracking behavior of the user. Perner and Fiss present in their paper a strategy for intelligent e marketing with web mining and personalization. Methods and procedures for the generation of associative rules are presented in the paper by Hipp, Güntzer, and Nakhaeidizadeh.