Titlebook: Computational Intelligence in Pattern Recognition; Proceedings of CIPR Asit Kumar Das,Janmenjoy Nayak,Danilo Pelusi Conference proceedings

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https://doi.org/10.1007/978-981-13-9516-1ly mitigating different risks. The detailed survey of log-based anomaly detection in cloud has been presented here. Intention of this work is to provide the insight into how log data is useful in order to detect anomaly in cloud.

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General Conclusion: Summary and Prospect,ts in a timely manner are a challenge in the field of data mining. Researchers are always trying to develop an efficient automated disease classification system to identify crop diseases. This paper presents the development of an automated system that will analyze the diseased infected paddy plant i

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General Conclusion: Summary and Prospect,ject is purely dependent on various parameters such as time, cost and staff. By these parameters, project planning will be done by the project managers. Software effort estimation is a fundamental and emerging aspect for software companies in developing a software. If we estimate the effort properly

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SpringerBriefs in Reproductive Biologydetection of disease for humankind is the other motivation. Traditional approaches of disease classification use very limited information, and experience of diagnosis is lacking. Few doctors in a small hospital would be able to diagnose critical disease based on their experience, and when it comes t

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Inga Grdzelishvili,Roger Sathrefication, a supervised learning method, is mostly applicable method of data mining. In this paper, we have used different classification techniques to differentiate the results for different data sets. Deep learning or hierarchical learning is the part of machine learning which mainly follows the wi

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Nato Security through Science Series C:of traffic in a particular road region followed by its visualization. The primary objective of this paper is to analyze the traffic big data using two comparative parallel algorithms of M5P rules and random forest regression for determining the average journey time based on other parameters related

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Computational Intelligence in Pattern Recognition978-981-15-2449-3Series ISSN 2194-5357 Series E-ISSN 2194-5365