MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix

Sowkuntla, Pandu; Prasad, P. S. V. S. Sai

doi:10.1007/s10489-021-02253-1

Cited by 20 publications

(4 citation statements)

References 46 publications

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“…MapReduce is another core component of the Hadoopdistributed computing framework. MapReduce is a parallel programming model, which can process a large amount of distributed unstructured data, and can generate summary results, providing scalability across cluster nodes [18,19]. It is mainly divided into two steps: Map and Reduce.…”

Section: Hadoop Distributed Computing Frameworkmentioning

confidence: 99%

Real Estate Marketing Adaptive Decision-Making Algorithm Based on Big Data Analysis

2022

Security and Communication Networks

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Aiming at the problems of low stability and efficiency of marketing decision-making and large complexity of marketing decision-making in the current marketing adaptive decision-making algorithm, a real estate marketing adaptive decision-making algorithm based on Big Data analysis is proposed. By analyzing the concept of Big Data, using the Big Data distributed computing architecture, researching the data mining-related algorithms. By constructing an association rule algorithm, mining the rules between real estate marketing and related factors. Based on the Spark-distributed computing platform, an optimization idea of association mining is designed. Decision tree algorithm is used to select discrete and continuous attribute features. According to the characteristics of real estate marketing data and the weight-based discrimination method, the decision tree pruning algorithm is optimized using the classification accuracy, stability, and complexity criteria, and the adaptive decision-making model of real estate marketing is constructed to realize the adaptive decision-making of real estate marketing. The experimental results show that the proposed algorithm has high stability and efficiency in real estate marketing adaptive decision-making and can effectively reduce the complexity of marketing decision-making.

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Section: Hadoop Distributed Computing Frameworkmentioning

confidence: 99%

Real Estate Marketing Adaptive Decision-Making Algorithm Based on Big Data Analysis

2022

Security and Communication Networks

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“…Events with Different Characteristics. Combined with MapReduce parallelization mode [14], according to the structured, semistructured, and unstructured characteristics of different big data, tensor represents the network marketing data of sports events with different characteristics.…”

Section: Tensor Represents the Network Marketing Data Of Sportsmentioning

confidence: 99%

Adaptive Integration Algorithm of Sports Event Network Marketing Data Based on Big Data

Zhang

Qiao

2022

Security and Communication Networks

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To address the issues of low-data integration accuracy and efficiency, as well as a lack of data integration impact, an adaptive data integration algorithm for sports event network marketing data based on big data is presented. The fundamental theory of tensor is researched by examining the notion and features of big data and by using the associated technologies of the big data framework. Collect network-marketing data from a variety of sporting events and feed it to a big data platform. Combined with MapReduce parallelization mode, tensor represents the online marketing data of sports events according to the structured, semistructured, and unstructured characteristics of different big data. Integrate each tensor model based on semitensor product, build a unified data adaptive integration tensor model, and realize the adaptive integration of sports event network marketing data. The experimental results show that the proposed algorithm has a good effect on the adaptive integration of sports event network marketing data and can effectively improve the accuracy and efficiency of data adaptive integration.

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“…A further work [29] describes a new approach for outlier detection using fuzzy rough set theory. Other works dealing with parallelization of algorithms based on Rough Sets are focused on processing reducts [30], Big Data regression [31], attribute subset selection [32] and Apriori algorithm [33]. Lastly, the authors of [34] that propose a rough set fuzzy classification rule generation algorithm (RS-FCRG) to present attractive results with a MapReduce model for Big Data.…”

Section: B Suitable Approaches For Big Datamentioning

confidence: 99%

Three-Way Decisions on Streaming Computing Platforms Supporting Decision-Making in Complex Large Real-World Environments

2022

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In complex environments, decision-making processes are more and more dependent on gathering, processing and analysis of huge amounts of data, often produced with different velocities and different formats by distributed sensors (human or automatic). Such streams of data also suffer of imprecision and uncertainty. On the other hand, Three-way Decision is considered a suitable approach for data analysis based on the tri-partitioning of the universe of discourse, i.e., exploiting the notions of acceptance, rejection and non-commitment, as well as the human brain does to solve numerous problems. Suppose the application scenario foresees the processing of data streams. In that case, the analysis task could be accomplished by considering the stream computing paradigm which is one of the most important paradigms in Big Data. With such a paradigm data arrives, is processed and departs in real-time without needing to be temporarily serialized into a storage system. This work analyzes the implementation of the Three-Way Decision approach, based on Rough Set Theory, on a real-time data processing platform supporting streaming computing, i.e., Apache Spark.

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MapReduce based parallel fuzzy-rough attribute reduction using discernibility matrix

Cited by 20 publications

References 46 publications

Real Estate Marketing Adaptive Decision-Making Algorithm Based on Big Data Analysis

Real Estate Marketing Adaptive Decision-Making Algorithm Based on Big Data Analysis

Adaptive Integration Algorithm of Sports Event Network Marketing Data Based on Big Data

Three-Way Decisions on Streaming Computing Platforms Supporting Decision-Making in Complex Large Real-World Environments

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