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

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書目名稱Advances in Machine Learning and Data Science影響因子(影響力)




書目名稱Advances in Machine Learning and Data Science影響因子(影響力)學(xué)科排名




書目名稱Advances in Machine Learning and Data Science網(wǎng)絡(luò)公開度




書目名稱Advances in Machine Learning and Data Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Machine Learning and Data Science被引頻次




書目名稱Advances in Machine Learning and Data Science被引頻次學(xué)科排名




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書目名稱Advances in Machine Learning and Data Science讀者反饋




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evanescent

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

高興一回

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

親愛

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