Search Results - subject:"Map-reduce"

Dynamic Distributed and Parallel Machine Learning algorithms for big data mining processing

Djafri, Laouni - In: Data Technologies and Applications 56 (2021) 4, pp. 558-601

Purpose This work can be used as a building block in other settings such as GPU, Map-Reduce, Spark or any other. Also … controlled by Map-Reduce algorithm which in turn depends on random sampling technique. So, the distributed architecture that the …

Persistent link: https://www.econbiz.de/10014712694

Big data analytics for retail industry using MapReduce-Apriori framework

Verma, Neha; Malhotra, Dheeraj; Singh, Jatinder - In: Journal of management analytics 7 (2020) 3, pp. 424-442

Persistent link: https://www.econbiz.de/10012286190

A Geospatial Dynamic Microsimulation Model for Household Population Projections

Rogers, Susan M.; Rineer, James; Scruggs, Matthew D.; … - In: International Journal of Microsimulation 7 (2014) 2, pp. 119-146

Forecasting Populations (FPOP) is a microsimulation model (MSM) that is the demographic core of an extensible modeling framework. The framework, with FPOP at its core, enables the geospatial projection of a population under purely demographic processes or under the additional influence of...

Persistent link: https://www.econbiz.de/10010960070

Application of Sequential Pattern Mining Algorithm in Commodity Management

Wang, Xiaoli; Wang, Fang; Yan, Shi; Liu, ZhanBo - In: Journal of Electronic Commerce in Organizations (JECO) 16 (2018) 3, pp. 94-106

through a series of operations, it can be transformed into a sequence database. Finally, the data is used in the SPM of Map-Reduce …

Persistent link: https://www.econbiz.de/10012049024

Application of sequential pattern mining algorithm in commodity management

Wang, Xiaoli; Wang, Fang; Yan, Shi; Liu, ZhanBo - In: Journal of electronic commerce in organizations : the … 16 (2018) 3, pp. 94-106

Persistent link: https://www.econbiz.de/10011886381

Scalable Differential Evolutionary Clustering Algorithm for Big Data Using Map-Reduce Paradigm

Benmounah, Zakaria; Meshoul, Souham; Batouche, Mohamed - In: International Journal of Applied Metaheuristic … 8 (2017) 1, pp. 45-60

) algorithm based on map-reduce programming model. The traditional use of DE to deal with clustering of large sets of data is so … time-consuming that it is not feasible. On the other hand, map-reduce is a programming model emerged lately to allow the … design of parallel and distributed approaches. In this paper, four stages map-reduce differential evolution algorithm termed …

Persistent link: https://www.econbiz.de/10012042941

Enterprise big data analysis using SVM classifier and lexicon dictionary

Radha, S.; Babu, C. Nelson Kennedy - In: International journal of enterprise network management … 11 (2020) 1, pp. 65-75

Persistent link: https://www.econbiz.de/10012287225

Social Media Monitoring mit Big Data Technologien

König, Gerd; Gügi, Christian - In: HMD : Praxis der Wirtschaftsinformatik 51 (2014) 298, pp. 424-435

Persistent link: https://www.econbiz.de/10010385184

Hadoop ecosystem as enterprise big data platform : perspectives and practices

Mazumder, Sourav; Dhar, Subhankar - In: International journal of information technology and … 17 (2018) 4, pp. 334-348

Persistent link: https://www.econbiz.de/10011989755

Influential Researcher Identification in Academic Network Using Rough Set Based Selection of Time-Weighted Academic and Social Network Features

G., Manju; V., Kavitha; T.V., Geetha - In: International Journal of Intelligent Information … 13 (2017) 1, pp. 1-25

academic network, map reduce paradigm has been employed in the spreading activation algorithm. …

Persistent link: https://www.econbiz.de/10012045498