Jmax-pruning: A facility for the information theoretic pruning of modular classification rules

Stahl, Frederic; Bramer, Max

doi:10.1016/j.knosys.2011.06.016

Cited by 22 publications

(34 citation statements)

References 12 publications

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“…Ongoing work comprises the extension of the framework to induce general rules that do not predict a certain class but describe important relationships in the dataset. Also the integration of a further, only recently developed, pre-pruning version for Prism algorithms, Jmax-pruning [30,31] is investigated for integration in the PMCRI framework. In general the development of PMCRI allows the application of Prism algorithms on a larger range of datasets that have previously simply been too large to be analysed using the Prism approach.…”

Section: Discussionmentioning

confidence: 99%

Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks

Stahl

Bramer

2012

Knowledge-Based Systems

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In order to gain knowledge from large databases, scalable data mining technologies are needed. Data are captured on a large scale and thus databases are increasing at a fast pace. This leads to the utilisation of parallel computing technologies in order to cope with large amounts of data. In the area of classification rule induction, parallelisation of classification rules has focused on the divide and conquer approach, also known as the Top Down Induction of Decision Trees (TDIDT). An alternative approach to classification rule induction is separate and conquer which has only recently been in the focus of parallelisation. This work introduces and evaluates empirically a framework for the parallel induction of classification rules, generated by members of the Prism family of algorithms. All members of the Prism family of algorithms follow the separate and conquer approach.

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Section: Discussionmentioning

confidence: 99%

Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks

Stahl

Bramer

2012

Knowledge-Based Systems

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“…Building a DANP model for exploring the dynamics of customer value co-creation behavior Particularly, intelligent hybrid systems integrate several models for processing real-world problems [66][67][68][69][70]. In practice, such a hybrid model outperforms stand-alone models for that the intelligent hybrid model maximizes their advantages while minimizes the limitations.…”

Section: Research Subjects and Samplingmentioning

confidence: 99%

Identifying the value co-creation behavior of virtual customer environments using a hybrid expert-based DANP model in the bicycle industry

Chuang

Chen

2015

Hum. Cent. Comput. Inf. Sci.

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Since 2008, soaring international oil prices and environmental awareness have pushed bicycle to be a green transport vehicle to reduce greenhouse gas emissions as a significant global trend. Consequently, Taiwan's bicycle industry earned the "bicycle kingdom" has entered a new peak period of demand under popular social trends of bicycling for health conscious and a healthy exercise tool; thus, to co-create value with customers to retain the reputation is important for Taiwan's bicycle industry. In Internet age, plus the prevailing of service-dominant logic, virtual customer environments (VCEs) can be greatly leveraged to promote customers' active engagement in the value co-creation activities. After an extensive literature review, this study organizes a hybrid expert-based DANP model based on the applications of multi-criteria decision making (MCDM) tools, such as decision-making trial and evaluation laboratory (DEMATEL)-based analytical network process (ANP), for investigating the iterative and dynamic nature of customer's engagement and value co-creation behavior in the key bicycle industry in Taiwan. In the empirical study of analysis, the use and gratification framework of prior studies is validated on concerning the dynamic value co-creation behavior in bicycling VCEs and yields the following empirical results: (1) Tribal behavior drives the pursuit of realized benefits through VCE engagement and affects the related participation and citizenship behaviors in turn; (2) recognize the importance of social influences toward personal commitment and engagement of bicycling activities and related VCEs; and (3) four broad types of interaction-based benefits derived from engagement in VCEs include cognitive, social integrative, personal integrative, and hedonic benefits. The major research findings on theoretical implications and managerial implications provide helpful insights on marketing of Taiwan's bicycle industry.

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“…This is because the unclassified instances accumulated for inducing additional rules are polarised towards the concept that causes certain instances to be unclassified. Also further pruning facility for Prism algorithms, Jmaxpruning [22] will be investigated for its usage in the eRules system.…”

Section: Ongoing and Future Workmentioning

confidence: 99%

eRules: A Modular Adaptive Classification Rule Learning Algorithm for Data Streams

Stahl¹,

Gaber²,

Salvador³

2012

Research and Development in Intelligent Systems XXIX

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Jmax-pruning: A facility for the information theoretic pruning of modular classification rules

Cited by 22 publications

References 12 publications

Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks

Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks

Identifying the value co-creation behavior of virtual customer environments using a hybrid expert-based DANP model in the bicycle industry

eRules: A Modular Adaptive Classification Rule Learning Algorithm for Data Streams

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