A Randomness Based Analysis on the Data Size Needed for Removing Deceptive Patterns

Journal article

Open access

Peer reviewed

Kazuya Haraguchi, Mutsunori Yagiura, Endre Boros and Toshihide Ibaraki

IEICE transactions on information and systems, Vol.91(3), pp.781-788

2008

Abstract

Applied sciences

Computer science; control theory; systems

Exact sciences and technology

Information systems. Data bases

Information theory

Information, signal and communications theory

Memory organisation. Data processing

Software

Telecommunications and information theory

url

https://doi.org/10.1093/ietisy/e91-d.3.781View

Version of Record (VoR) Open

11 Record Views

Title: A Randomness Based Analysis on the Data Size Needed for Removing Deceptive Patterns
Creators: Kazuya Haraguchi - Department of Information Technology and Electronics, Faculty of Science and Engineering, Ishinomaki Senshu University, Ishinomaki-shi, 986-8580, Japan
Mutsunori Yagiura - Department of Computer Science and Mathematical Informatics, Graduate School of Information Science, Nagoya University, Nagoya-shi, 464-8603, Japan
Endre Boros - Rutgers Center for Operations Research, Rutgers University, NJ, 08854-8003, United States
Toshihide Ibaraki - Department of Informatics, School of Science and Technology, Kwansei Gakuin University, Sanda-shi, 669-1337, Japan
Publication Details: IEICE transactions on information and systems, Vol.91(3), pp.781-788
Date published: 2008
Publisher: Oxford University Press
Academic Unit: Management Science and Information Systems (RBS)
Language: English
Resource Type: Journal article
Identifiers: 991031666218204646