Analysis of effectiveness of apriori algorithm in medical billing data mining

Proceedings - 4th IEEE International Conference on Emerging Technologies 2008, ICET 2008

Volumn , Issue , 2008, Pages 327-331

  Abdullah, Umair ^a   Ahmad, Jamil ^b   Ahmed, Aftab ^a  

^a FOUNDATION UNIVERSITY   (Pakistan)

^b IQRA UNIVERSITY   (Pakistan)

Author keywords

Association rules; Data mining; Medical billing

Indexed keywords

APRIORI ALGORITHMS; DATA-RICH DOMAINS; FREQUENT ITEMSETS; INSURANCE COMPANIES; ITEM SETS; MEDICAL BILLING; MEDICAL PRACTICE;

ALGORITHMS; ASSOCIATION RULES; ASSOCIATIVE PROCESSING; INFORMATION MANAGEMENT; INSURANCE; MINING; RESEARCH; SET THEORY;

MEDICAL COMPUTING;

EID: 67649666803     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICET.2008.4777523     Document Type: Conference Paper

References (3)

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2. R. Agrawal and R. Srikant. "Fast algorithms for mining association rules." In Jorge B. Bocca, Matthias Jarke, and Carlo Zaniolo, editors, Proceedings of 20th Intl. Conference of Very Large Data Bases, VLDB, pages 487-499. Morgan Kaufmann, 12-15 1994.
3. "Healthcare Informatics, 100 - IT Companies by Healthcare Revenue" Healthcare Informatics, June 2004.