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Volumn , Issue , 2011, Pages 168-176

Predictive analytics in the public sector: Using data mining to assist better target selection for audit

Author keywords

Data mining; Ireland; Predictive analytics; Public sector; Tax

Indexed keywords

BUSINESS PROCESS; CREDIT SCORING; CRITICAL FACTORS; DATA MINING TECHNIQUES; GOOD DATA; HIT RATE; IRELAND; MINING PROJECTS; MODEL PROBABILITIES; NON-COMPLIANCE; POTENTIAL APPLICATIONS; PREDICTIVE ANALYTICS; PREDICTIVE MODELS; PUBLIC SECTOR; TARGET SELECTION; TAX;

EID: 84870944638     PISSN: 20491034     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (6)
  • 6
    • 84870910692 scopus 로고    scopus 로고
    • (accessed March 2011)
    • SAS E. Miner reference (accessed March 2011): http://www.sas.com/technologies/analytics/datamining/miner/index.html
    • Miner reference
    • Sas, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.