On the Legal Liability of Search Engine Data Mining Behavior Under Robots Protocol

2022 ◽  
pp. 1191-1196
Author(s):  
Yong Zhang
Keyword(s):  
Data Mining ◽  
Search Engine ◽  
Legal Liability

scholarly journals Dynamic Clinical Data Mining: Search Engine-Based Decision Support

2014 ◽  
Vol 2 (1) ◽  
pp. e13 ◽  
Author(s):  
Leo Anthony Celi ◽  
Andrew J Zimolzak ◽  
David J Stone
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Search Engine ◽  
Clinical Data ◽  
Clinical Data Mining

Grid-Based Data Mining With the Environmental Scenario Search Engine (ESSE)

2009 ◽  
pp. 221-245
Author(s):  
Mikhail Zhizhin ◽  
Alexey Poyda ◽  
Dmitry Mishin ◽  
Dmitry Medvedev ◽  
Eric Kihn ◽  
...  
Keyword(s):  
Data Mining ◽  
Search Engine ◽  
Grid Based

scholarly journals Development of a Google-Based Search Engine for Data Mining Radiology Reports

2008 ◽  
Vol 22 (4) ◽  
pp. 348-356 ◽  
Author(s):  
Joseph P. Erinjeri ◽  
Daniel Picus ◽  
Fred W. Prior ◽  
David A. Rubin ◽  
Paul Koppel
Keyword(s):  
Data Mining ◽  
Search Engine ◽  
Radiology Reports

Improving search results with data mining in a thematic search engine

2004 ◽  
Vol 31 (14) ◽  
pp. 2387-2404 ◽  
Author(s):  
M Caramia ◽  
G Felici ◽  
A Pezzoli
Keyword(s):  
Data Mining ◽  
Search Engine ◽  
Search Results

Model of Improving Searching Precision For Interactive Users with Searching Requirements

2013 ◽  
Vol 756-759 ◽  
pp. 833-836
Author(s):  
Tian Chong ◽  
Yan Ling Shao ◽  
Jian Jun Wang
Keyword(s):  
Data Mining ◽  
Search Engine ◽  
User Feedback ◽  
Demand Model ◽  
Model Based ◽  
Search Precision ◽  
The One ◽  
Feedback Data

This paper presents a model based on analysis on interactive users search needs. This model changes from the analysis on user's behavior to the one on search content, which reduces to violate users privacy, and enables users to actively participate in determining the needs of search from the client end in the search engine, in addition to establishment of search demand model based on a large number of user feedback data mining in the search engine subsystem, as a result of higher search precision with less client spending and higher user s participation.

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