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of 91
pro vyhledávání: '"Toroslu, İsmail Hakkı"'
NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction
Click-through-rate (CTR) prediction plays an important role in online advertising and ad recommender systems. In the past decade, maximizing CTR has been the main focus of model development and solution creation. Therefore, researchers and practition
Externí odkaz:
http://arxiv.org/abs/2409.08703
Publikováno v:
In Expert Systems With Applications 1 March 2023 213 Part B
Publikováno v:
In Artificial Intelligence In Medicine May 2021 115
Akademický článek
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Most large organizations, such as corporations, are hierarchical organizations. In hierarchical organizations each entity in the organization, except the root entity, is a sub-part of another entity. In this paper we study the task assignment problem
Externí odkaz:
http://arxiv.org/abs/1404.0783
Autor:
Turan, Ugur, Toroslu, Ismail Hakki
Traditional database access control mechanisms use role based methods, with generally row based and attribute based constraints for granularity, and privacy is achieved mainly by using views. However if only a set of views according to policy are mad
Externí odkaz:
http://arxiv.org/abs/1402.5742
This paper introduces a new method for the session construction problem, which is the first main step of the web usage mining process. Through experiments, it is shown that when our new technique is used, it outperforms previous approaches in web usa
Externí odkaz:
http://arxiv.org/abs/1307.1927
Publikováno v:
Social Network Analysis & Mining; 4/4/2024, Vol. 14 Issue 1, p1-15, 15p
Web usage mining is a type of web mining, which exploits data mining techniques to discover valuable information from navigation behavior of World Wide Web users. As in classical data mining, data preparation and pattern discovery are the main issues
Externí odkaz:
http://arxiv.org/abs/0804.1409
Publikováno v:
In Expert Systems With Applications 15 June 2018 100:79-94