Titlebook: Advances in Machine Learning and Data Science; Recent Achievements Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu Conference proceedin

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书目名称Advances in Machine Learning and Data Science影响因子(影响力)




书目名称Advances in Machine Learning and Data Science影响因子(影响力)学科排名




书目名称Advances in Machine Learning and Data Science网络公开度




书目名称Advances in Machine Learning and Data Science网络公开度学科排名




书目名称Advances in Machine Learning and Data Science被引频次




书目名称Advances in Machine Learning and Data Science被引频次学科排名




书目名称Advances in Machine Learning and Data Science年度引用




书目名称Advances in Machine Learning and Data Science年度引用学科排名




书目名称Advances in Machine Learning and Data Science读者反馈




书目名称Advances in Machine Learning and Data Science读者反馈学科排名

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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/a/image/148707.jpg

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Advances in Machine Learning and Data Science978-981-10-8569-7Series ISSN 2194-5357 Series E-ISSN 2194-5365

Arroyo

https://doi.org/10.1007/3-540-58808-6ese systems, more and more concerns over the risk and security issues in networks have raised. In this paper, we have proposed approach using particle swarm optimization to optimize ART. Adaptive resonance theory is one of the most well-known machine-learning-based unsupervised neural networks, whic

Foregery

https://doi.org/10.1007/978-1-4471-5140-1on has enabled enormous research opportunities in the field of machine learning to introduce new and improved techniques that deal with the challenging tasks of higher level. However, this rise in size of data quality has introduced a new challenge in this field, regarding the processing of such hug

Libido

https://doi.org/10.1007/978-1-4471-5140-1interlinked data from different database sources. The term data provenance is defined as lineage of data and movement between databases. Scientists and enterprises use their own analytical tools to process the data provenance. In the current scenario, workflow management systems are popular in scien

迎合

,A 30 years Learning Experience,given, and a QA system attempts to search for the correct answer to the question posed in natural language. Question classification (QC), which is a part of QA system, helps to categorize each question. In QC, the entity type of the answering sentence for a given question in natural language is pred

亲爱

mercenary

R. Lemke,D. Klaus,D. W. Lübbersdue to varied biological and psychological reasons. If high blood pressure state is sustained for a longer cycle, then the person may be the victim of heart attack or brain stroke or kidney disease. This paper uses a decision tree-based J48 algorithm, to predict whether a person is prone to high blo

Outspoken

R. Lemke,D. Klaus,D. W. Lübbersea-efficient shift register using transmission gate. Shift register is used small number of pulse clock signal by alignment latches to several shift register and additional temporary latches. The non-stop flow of pulse signal from input side due to this unnecessary of signal flow so the power and de