Grossman, R.L., Bailey, S., Ramu, A., Malhi, B., Hallstrom, P., Pulleyn, I., and Qin, X., The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language, Information and Software Technology, 41:9, pp 589595, 1999 Home/Search Document Details and Download
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The WWW Based Data Mining Toolbox Architecture - Kurgan, Cios, Trombley (2002) (Correct)
....incompatibilities caused by using proprietary formats. The PMML currently supports several DM models like decision trees, naive Bayesian models, regression models, sequence and association rules, neural networks, and center and distribution based clustering algorithms [6] For details on PMML see [10]. Products from many major vendors like IBM, Oracle, SPSS, NCR, Magnify, Angoss and others already currently support PMML. The usability of XML for storing, retrieving and using the domain knowledge via the use of PMML is described in [2] 2.3 Service Description and Discovery Tools WSDL (Web ....
Grossman, R.L., Bailey, S., Ramu, A., Malhi, B., Hallstrom, P., Pulleyn, I., & Qin, X. (1999), The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language, Information and Software Technology, 41(9), 589-595
Towards Flexibility in a Distributed Data Mining Framework - Pena, Menasalvas (2001) (1 citation) (Correct)
....[6] is able to mine distributed data sources on a WAN network scenario. Papyrus system uses meta clusters to generate local models which are exchanged to generate a global model. The idea is founded on a theory similar to JAM system, nevertheless they use a model representation language (PMML [5]) and storage system called Osiris. Kensington [10] architecture is based on a distributed componentenvironment located at di erent nodes on a generic network, like the Internet. Kensignton provides three kind of components: i) User oriented components, ii) Application servers and (iii) Third ....
R. L. Grossman, S. Bailey,A.Ramu, B. Malhi, P. Hallstrom, I. Pulleyn, and X. Qin. The management and mining of multiple predictivemodels using the predictive modeling markup language (PMML). ########### ### ##################, 1999.
Integrated Delivery of Large-Scale Data Mining Systems (Extended .. - Williams (1 citation) (Correct)
....within the Arcade. This is proposed to be redeveloped using the Java semantic extension framework to provide orthogonality between the analysis algorithms and the data sources. The Extensible Markup Language (XML) is adopted as the target language for the data mining tools within the environment (Grossman, Bailey, Ramu, Malhi, Hallstrom, Pulleyn and Qin 1999). Models expressed in XML can be visualised, run, or combined with other models in ensemble systems, through the use of plug ins within the Data Miner s Arcade. Acknowledgments The worked reported on here has been performed by the ACSys project. Contributions from both the Australian National ....
Grossman, R., Bailey, S., Ramu, A., Malhi, B., Hallstrom, P., Pulleyn, I. and Qin, X.: 1999, The management and mining of multiple predictive models using the predictive modelling markup language, Information and Software Technology 41(9).
Papyrus: A System for Data Mining over Local and.. - Bailey, Grossman, .. (1999) (2 citations) Self-citation (Grossman Bailey Ramu Malhi) (Correct)
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R. L. Grossman, S. Bailey, A. Ramu, B. Malhi, P. Hallstrom, I. Pulleyn, and X. Qin, The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language (PMML), Information and System Technology, Volume 41, pages 589-595, 1999.
The Preliminary Design of Papyrus: A System for High.. - Grossman, al. (1999) (12 citations) Self-citation (Grossman Bailey Ramu Malhi) (Correct)
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R. L. Grossman, S. Bailey, A. Ramu, B. Malhi, P. Hallstrom, I. Pulleyn, and X. Qin, The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language (PMML), Information and System Technology, Volume 41, pages 589-595, 1999. 18
A High Performance Implementation of the Data.. - Bailey, Creel.. (1999) (3 citations) Self-citation (Grossman Bailey) (Correct)
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R. L. Grossman, S. Bailey, A. Ramu and B. Malhi, P. Hallstrom, I. Pulleyn and X. Qin, The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language (PMML), Information and Software Technology, 1999.
Papyrus: A System for Data Mining over Local and.. - Bailey, Grossman, .. (1999) (2 citations) Self-citation (Grossman Bailey) (Correct)
....[5] This provides a fundamentally new technology, since, in fact, most data is distributed. Concretely, data mining may be viewed as extracting a learning set from one or more (distributed) data warehouses and applying a data mining algorithm to produce a predictive model or rule set [8]. Different strategies are possible, depending upon the data, its distribution, the resources available, and the accuracy required: MR (Move Results) Today s commodity networks can be used to move the results of local data mining computations to a central site. MM (Move Models) Commodity ....
....result. In general, this approach is less expensive, but also less accurate. We take the viewpoint that the data mining process consists of applying data mining algorithms to learning sets to produce predictive models. We view the predictive model very concretely as consisting of a PMML file [8]. Continuing, the PMML file can be used to process data further to obtain results, which we view as a vector. 2 We assume that there are different sites connected by a network. One of the nodes, say , is the network root where the overall result will be computed. With this viewpoint, a ....
R. L. Grossman, S. Bailey, A. Ramu, B. Malhi, P. Hallstrom, I. Pulleyn, and X. Qin, The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language (PMML), Information and System Technology, Volume 41, pages 589-595, 1999.
Trends in Data Mining and Knowledge Discovery - Kurgan (2005) (1 citation) (Correct)
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Grossman, R.L., Bailey, S., Ramu, A., Malhi, B., Hallstrom, P., Pulleyn, I., and Qin, X., The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language, Information and Software Technology, 41:9, pp 589595, 1999
Knowledge Elicitation through Web-based Data Mining Services - Krishnaswamy, Loke.. (2001) (Correct)
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Grossman,R,L., Bailey,S., Ramu,A., Malhi,B., Hallstrom,P., Pulleyn,I., and Oin,X., (1999), "The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language (PMML)", Information and Software Technology, Volume 41, pp. 589-595.
An XML Specification Language to Support a Virtual.. - Krishnaswamy, See.. (2002) (Correct)
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Grossman,R,L., Bailey,S., Ramu,A., Malhi,B., Hallstrom,P., Pulleyn,I., and Oin,X., (1999), "The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language (PMML)", Information and Software Technology,Vol. 4, pp. 589-595.
Distributed Decision Tree Induction within The Grid Data.. - Hofer, Brezany (2004) (Correct)
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R. L. Grossman, S. Balley, A. Ramu, B Malhl, P. Hallstrom, I. Pulleyn, and X. Qin. The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup Language. Information and Software Technology, 41(9):589--595, 1999.
A Hybrid Model for Delivering Internet-based Distributed Data.. - Krishnaswamy (2002) (Correct)
No context found.
Grossman, R, L., Bailey, S., Ramu, A., Malhi, B., Hallstrom, P., Pulleyn, I., and Oin, X., (1999), "The Management and Mining of Multiple Predictive Models Using the Predictive Modeling Markup 211 Language (PMML)", Information and Software Technology, Vol. 4, pp. 589-595.
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