Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amlan Chakrabarti,Jan Martinovic Conference proceedings 2021 Sp

致命

Analytics for In Silico Development of Inhibitors from Neem (,) Against Pantothenate Synthetase of de health threats. So there is an urgent need for the development of new drug for tuberculosis. Pantothenate synthase (PS) is a valid target for rational drug designing against . as it is absent in animal system. Neem (.) has been used as traditional Indian medicine since the ancient era. Preparatio

Foam-Cells

A Machine Learning Model for Forecasting Wind Disasters for Farmersake precautionary actions that can reduce the damages caused by strong winds. The changes in wind speed are based on the various atmospheric parameters like relative-humidity, pressure, temperature, and wind direction. The values of these parameters can be obtained from the area weather stations for

inflame

Prediction of Most Valuable Bowlers of Indian Premier League (IPL)e mainly two roles, namely, batsman and bowler. Top performing teams get to win the match; hence, it needs to be comprised of the best players. In such a scenario, the evaluation of a player profile for team selection plays a very crucial role. The work proposes an approach to predict bowler ranking

連鎖,連串

Categorizing Text Documents Using Na?ve Bayes, SVM and Logistic Regression mining Technology, Data extraction and Artificial Intelligence for text categorization. This paper will showcase the features of the technologies involved. There are three machine learning algorithms (SVM, Multinomial Na?ve Bayes and Logistic Regression) used in this paper for text categorization,

nutrients

Machine Learning to Diagnose Common Diseases Based on Symptomsits symptoms. Early diagnosis is the key for effective treatment of a disease and better living of the people. Providing sophisticated and accurate algorithms and techniques to overcome this issue will be revolutionary. Though hospitals in urban areas are using advanced technology for diagnosis and

Infect

Efficacy of Oversampling Over Machine Learning Algorithms in Case of Sentiment Analysisbe called as sentiment analysis. Sentiment analysis is basically extracting the tone or emotion of the writer, by understanding the text sequence. This way of approach is to understand the sentiment of a text considering as a boon in the customer management system and can easily be applied to the so

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懦夫

Data Management, Analytics and Innovation978-981-15-5619-7Series ISSN 2194-5357 Series E-ISSN 2194-5365

隱士

https://doi.org/10.1007/978-1-4471-5490-7eatures which contribute most to our prediction variable or output in which we are interested. This subset of features has some very important benefits: it reduces the computational complexity of learning algorithms, saves time, improves accuracy, and the selected features can be insightful for the