Search Results - subject:"Data mining."

PROVIDING TIMELY UPDATED SEQUENTIAL PATTERNS IN DECISION MAKING

HONG, TZUNG-PEI; WANG, CHING-YAO; LIN, CHUN-WEI - In: International Journal of Information Technology & … 09 (2010) 06, pp. 873-888

Mining knowledge from large databases has become a critical task for organizations. Managers commonly use the obtained sequential patterns to make decisions. In the past, databases were usually assumed to be static. In real-world applications, however, transactions may be updated. In this paper,...

Persistent link: https://www.econbiz.de/10008690095

FUZZY, DISTRIBUTED, INSTANCE COUNTING, AND DEFAULT ARTMAP NEURAL NETWORKS FOR FINANCIAL DIAGNOSIS

NACHEV, ANATOLI; HILL, SEAMUS; BARRY, CHRIS; STOYANOV, … - In: International Journal of Information Technology & … 09 (2010) 06, pp. 959-978

This paper shows the potential of neural networks based on the Adaptive Resonance Theory as tools that generate warning signals when bankruptcy of a company is expected (bankruptcy prediction problem). Using that class of neural networks is still unexplored to date. We examined four of the most...

Persistent link: https://www.econbiz.de/10008690096

HIGH UTILITY ITEMSETS MINING

LIU, YING; LI, JIANWEI; LIAO, WEI-KENG; CHOUDHARY, ALOK; … - In: International Journal of Information Technology & … 09 (2010) 06, pp. 905-934

High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making...

Persistent link: https://www.econbiz.de/10008690098

MEMBERSHIP-VALUE-BASED HOMOGENIZATION FOR A DESCRIPTIVE MULTIFACTOR MULTIVARIATE DATA ANALYSIS: EXAMPLE FEATURING QUANTITATIVE AND QUALITATIVE TIME VARIABLES IN CAR DRIVING

LOSLEVER, PIERRE; YOUNSI, KARINE; POPIEUL, JEAN-CHRISTOPHE - In: International Journal of Information Technology & … 09 (2010) 06, pp. 979-1007

This paper explains the pivotal part played by space windowing within Preliminary Data Analysis originating from MultiFactor and MultiVariate databases (PDA-MFMV). The explanation is based on the general case of a database featuring a hyperparallelepipedic structure in which the directions...

Persistent link: https://www.econbiz.de/10008690099

Detecting money laundering using filtering techniques: a multiple-criteria index

Yang, Shenggang; Wei, Lai - In: Journal of Economic Policy Reform 13 (2010) 2, pp. 159-178

Money laundering is a dynamic activity attempting to circumvent anti-money laundering (AML) actions. We propose a money-laundering detection approach encompassing three separate detection measures applied simultaneously, providing a consolidated index to minimize circumvention. The index...

Persistent link: https://www.econbiz.de/10008691430

Crime data mining as a decision making tool

Tasdoven, Hidayet; Sahin, Bahadir - In: International Journal of Public Policy 6 (2010) 3/4, pp. 278-287

private sectors. Data mining has been offered as a decision support tool particularly for criminal justice system. Advantages … and disadvantages of various data mining tools were discussed in terms of informatics research background. Agent, host and … environment relationships of data mining tools were applied in criminal justice system. …

Persistent link: https://www.econbiz.de/10010670218

DISCOVERING IMPORTANT SEQUENTIAL PATTERNS WITH LENGTH-DECREASING WEIGHTED SUPPORT CONSTRAINTS

YUN, UNIL; RYU, KEUN HO - In: International Journal of Information Technology & … 09 (2010) 04, pp. 575-599

Sequential pattern mining with constraints has been developed to improve the efficiency and effectiveness in mining process. Specifically, there are two interesting constraints for sequential pattern mining. First, some sequences are more important and others are less important. Weight...

Persistent link: https://www.econbiz.de/10008460612

A DATA ENVELOPMENT ANALYSIS (DEA) EVALUATION METHOD BASED ON SAMPLE DECISION MAKING UNITS

WEI, QUANLING; YAN, HONG - In: International Journal of Information Technology & … 09 (2010) 04, pp. 601-624

amount of data. The method can be regarded as a complementary approach for data mining. …

Persistent link: https://www.econbiz.de/10008460615

Integrating Economic Knowledge in Data Mining Algorithms

Daniëls, H.A.M.; Feelders, A.J. - Tilburg University, Center for Economic Research - 2001

others about the correctness and effectiveness of knowledge induced from data.The current data mining techniques do not … combined with data mining algorithms based on decision trees and neural networks.The method is illustrated in a hedonic price …

Persistent link: https://www.econbiz.de/10011092720

Neural Networks for Target Selection in Direct Marketing

Kaymak, Uzay; Potharst, Potharst, R.; Pijls, Pijls, W.H.L.M. - Erasmus Research Institute of Management (ERIM), … - 2001

Partly due to a growing interest in direct marketing, it has become an important application field for data mining …

Persistent link: https://www.econbiz.de/10010731403