Finding “persistent rules”: Combining association and classification results

Rajasethupathy, Karthik; Scime, Anthony; Rajasethupathy, Kulathur S.; Murray, Gregg R.

doi:10.1016/j.eswa.2008.06.090

Cited by 16 publications

(9 citation statements)

References 6 publications

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“…Li et al () classified records using classification based on multiple class‐association rules, which identified frequent patterns and associations between records and variables. Rajasethupathy et al () improved the usefulness of rules by identifying “persistent rules,” which are those rules identified by both classification and association mining.…”

Section: Methodsmentioning

confidence: 99%

“…Such multi‐method approaches are well suited for developing new data‐based theories in a discipline by demonstrating the robustness of rules. Following Rajasethupathy et al (), Murray, Hunter, and Scime (), and Scime, Murray, and Hunter (), this study employs a multi‐method approach using association and classification to find interesting and persistent rules to sort out the relationships between leaders' personal characteristics and their country's freedom status.…”

Section: Methodsmentioning

confidence: 99%

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Achieving Democratic Leadership: A Data‐Mined Prescription

Jurek

Scime

2013

Social Science Quarterly

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Objective.To understand what kind of individuals lead particular regimes, this study examines the most influential people in politics, the executives, to uncover the relationship between their characteristics and the type of regime they govern. Methods. This article employs data mining with characteristics of executives worldwide against the state's Freedom House ranking. Results. Through data mining, the results indicate that while there are still many important factors that coincide with democracy, the length of time in office and to a lesser extent the religious beliefs of executives and the likelihood of being classified as a democracy are heavily related. Conclusion. This article concludes with a recommendation for supporting specific types of executives to increase the likelihood for successful democratization to minimize authoritarian rule.For the second half of the 20th century, fighting communism was clearly the agenda for the United States and its allies, while the Soviet Union and its satellites were actively opposing the capitalist West. The end of the Cold War not only reorganized the world order with the breakup of many states and the rejection of communism as a viable option, it also brought about a dramatic change in foreign policy for most of the world. Instead of combating communist regimes, the United States and its allies (often through NATO) focused their attention toward authoritarian regimes, and now especially those regimes that support international terrorist groups. Whether through the use of military persuasion or soft power, American post-Cold War foreign policy actively targets the political stability of authoritarian regimes, i.e., former Yugoslavia and later Serbia, Afghanistan, Iraq, North Korea, Cuba, Iran, and Venezuela to name a few.Whereas Russia and China are largely left alone to their authoritarian ways, foreign policy makers remain deeply concerned with attaining knowledge on the "how to" for installing democratic regimes in the rest of the world. Recent events from the Arab Spring, especially NATO participation in *

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Achieving Democratic Leadership: A Data‐Mined Prescription

Jurek

Scime

2013

Social Science Quarterly

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“…Association rules are used to discover relationships and potential associations from huge amounts of data [12]. These rules can be effective in uncovering unknown relationships, and provide some results that can be the basis for forecasting and decision making [13].…”

Section: B Association Rulesmentioning

confidence: 99%

“…Several previous works are related to knowledge management of a knowledge network, few of them focus on knowledge recommendation [13,14]. In this paper, we consider a problem of recommending useful knowledge for users in knowledge network [15,16].…”

Section: Introductionmentioning

confidence: 99%

An Improved Recommendation Algorithm in Knowledge Network

Niu¹,

Chen²

2013

JNW

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Knowledge sharing is an essential characteristic of knowledge network and knowledge recommendation is a good way to improve the quality of shared knowledge. To investigate more efficient knowledge recommendation algorithm, knowledge potential energy rank and interest measure of knowledge were added in the association rules. Augmentation and quantization of the two parameters is the most important innovation of the paper. There were three modules in the algorithm-mining knowledge association rules, recommending related knowledge and modifying knowledge rank. Examination process provided by coal-wz.com was used to verify the proposed approach. The results showed that the proposed approach not only is able to extract the rules more efficient and much faster, but also can discover association rules more accurate in the context of knowledge management in knowledge network

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“…Traditionally, association rules mining (Rodríguez-González et al, 2013) is used to find the frequent itemsets among the historical transactions and discover unknown relationships so as to provide information for decision making or prediction (Rajasethupathy et al, 2009). …”

Section: Association Rule and Associative Classifiermentioning

confidence: 99%