Details

Title

Mining Pharmacy Database Using Evolutionary Genetic Algorithm

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2010

Volume

vol. 56

Numer

No 4

Publication authors

Divisions of PAS

Nauki Techniczne

Description

International Journal of Electronics and Telecommunications (IJET, eISSN 2300-1933, untill 2013 also print ISSN 2081-8491) is a periodical of Electronics and Telecommunications Committee of Polish Academy of Sciences and it is published by Warsaw Science Publishers of PAS. It continues tradition of the Electronics and Telecommunications Quarterly (ISSN 0867-6747) established in 1955 as the Rozprawy Elektrotechniczne. The IJET is a scientific periodical where papers present the results of original, theoretical, experimental and reviewed works. They consider widely recognized aspects of modern electronics, telecommunications, microelectronics, optoelectronics, radioelectronics and medical electronics.

The authors are outstanding scientists, well‐known experienced specialists as well as young researchers – mainly candidates for a doctor's degree. The papers present original approaches to problems, interesting research results, critical estimation of theories and methods, discuss current state or progress in a given branch of technology and describe development prospects. All the papers published in IJET are reviewed by international specialists who ensure that the publications are recognized as author's scientific output.

The printed periodical is distributed among all those who deal with electronics and telecommunications in national scientific centers as well as in numeral foreign institutions, and it is subscribed by many specialists and libraries. Its electronic version is available at http://ijet.pl.

The papers received are published within half a year if the cooperation between author and the editorial staff is efficient. The papers may be submitted to the editorial office by the journal web page http://ijet.pl.

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Date

2010

Identifier

eISSN 2300-1933 (since 2013) ; ISSN 2081-8491 (until 2012)

References

Agrawal R. (1995), IBM Almaden Research Center, 650 Harry Road, 95120. ; Agrawal R. (1996), IBM Almaden Research Center, 650 Harry Road. ; Fayyad U. (1996), From data mining to knowledge discovery in databases, American Association for Artificial Intelligence: AI Magazine, 37. ; Goldberg D. (1989), Genetic Algorithms. ; Herrera F. (1998), Tackling real-coded genetic algorithms: Operators and tools for the behaviour analysis, Artificial Intelligence Review, 12, 256. ; Tay J. (2004), An effective chromosome representation for evolving flexible job shop schedules, null, 210. ; Wannarumon S. (null), Aesthetic creation of endless forms: An application in jewelry design, 395. ; Y. Zhou, <i>Study on Genetic Algorithm Improvement and Application.</i> Master thesis, May 2006. ; Geng L. (2006), Interestingness measures for data mining: A survey, ACM Computing Surveys (CSUR), 38. ; Sakurai S. (2008), A sequential pattern mining method based on sequential interestingness, International Journal of Computational Intelligence, 252. ; Zhao Q. (2003), Sequential pattern mining: A survey. ; Kaya M. (2004), Multi-objective genetic algorithm based approach for optimizing fuzzy sequential patterns, null. ; Leonard M. (2006), Risk reduction for adverse drug events through sequential implementation of patient safety initiatives in a children's hospital, American Academy of Pediatrics, 18, 4, 1124. ; Antunes C. (2004), Instituto Superior Tcnico/INESC-ID. ; Wook J. (2005), New encoding/converting methods of binary GA/real-coded GA, IEICE Transaction, E88-A, 6, 1545. ; Ayres J. (2002), Sequential Pattern Mining using a Bitmap Representation. ; Spears W. (1991), A study of crossover operators in genetic programmin, null. ; Spears W. (1992), Crossover or mutation?, Navy Center for Applied Research in Artificial Intelligence. ; Freitas A. (2008), Computing Laboratory. ; Freitas A. (2002), Data Mining and Knowledge Discovery with Evolutionary Algorithms. ; Hirate Y. (2006), Generalized sequential pattern mining with item intervals, Journal of computers, 1, 3, 51, doi.org/10.4304/jcp.1.3.51-60 ; Olson D. (2008), Advanced Data Mining Techniques. ; Pakhira M. (2007), Generational pipelined genetic algorithm (PLGA) using stochastic selection, International Journal of Computer Systems Science and Engineering, 4, 1, 75. ; Romero C. (2004), Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. ; Taniar D. (2008), Data Mining and Knowledge Discovery Technologies, doi.org/10.4018/978-1-59904-960-1 ; S. Y. W. Li, "Paper survey on sequential pattern data mining," December 2004.

DOI

10.2478/v10177-010-0058-4

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