Search Results - subject:"naïve bayes"

Classification of Sentiment of Reviews using Supervised Machine Learning Techniques

Tripathy, Abinash; Rath, Santanu Kumar - In: International Journal of Rough Sets and Data Analysis … 4 (2017) 1, pp. 56-74

analysis into different polarity groups. Four machine learning algorithms viz., Naive Bayes (NB), Support Vector Machine (SVM …

Persistent link: https://www.econbiz.de/10012047372

Smart Refrigerator with Recipe Assistance

Gadgil, Aishwarya; Jagtap, Vedija; Kulkarni, Pooja - In: International Journal of Synthetic Emotions (IJSE) 8 (2017) 2, pp. 51-61

Internet of Things (IoT) will lead to a technological revolution that will change the way people live and interact with their surroundings. Intelligent appliances combined with multimedia capability have been emerging in everyone's life. Smart home is one of the prominent areas of intelligent...

Persistent link: https://www.econbiz.de/10012047573

Automated competitor analysis using big data analytics : evidence from the fitness mobile app business

Guo, Liang; Sharma, Ruchi; Yin, Lei; Lu, Ruodan; Rong, Ke - In: Business process management journal 23 (2017) 3, pp. 735-762

Persistent link: https://www.econbiz.de/10011744823

Supervised Machine Learning for Plants Identification Based on Images of Their Leaves

Rahmani, Mohamed Elhadi; Amine, Abdelmalek; Hamou, Reda … - In: International Journal of Agricultural and Environmental … 7 (2016) 4, pp. 17-31

, Naïve Bayes, K-nearest neighbour, and neural network. Finally, they evaluated the classification using cross validation. The …

Persistent link: https://www.econbiz.de/10012042759

Impact of Swarm Intelligence Techniques in Diabetes Disease Risk Prediction

Mishra, Brojo Kishore; Mishra, Sushruta; Sahoo, Soumya; … - In: International Journal of Knowledge Discovery in … 6 (2016) 2, pp. 29-43

Vector Machines and Naïve Bayes algorithms. It proposes a quicker and more efficient technique of diagnosing the disease …

Persistent link: https://www.econbiz.de/10012046199

Theoretical Analysis of Different Classifiers under Reduction Rough Data Set: A Brief Proposal

Ripon, Shamim H; Kamal, Sarwar; Hossain, Saddam; Dey, … - In: International Journal of Rough Sets and Data Analysis … 3 (2016) 3, pp. 1-20

and manual analysis among three popular classifier namely K-nearest neighbor (K-NN), Naive Bayes and Apriori algorithm …

Persistent link: https://www.econbiz.de/10012047357

A majority vote based classifier ensemble for web service classification

Qamar, Usman; Niza, Rozina; Bashir, Saba; Khan, Farhan … - In: Business & information systems engineering : BISE ; the … 58 (2016) 4, pp. 249-259

Persistent link: https://www.econbiz.de/10011595258

Reducing overreliance on sovereign credit ratings : which model serves better?

Ozturk, Huseyin; Namli, Ersin; Erdal, Halil İbrahim - In: Computational economics 48 (2016) 1, pp. 59-81

Persistent link: https://www.econbiz.de/10011646590

Textual analysis in accounting and finance : a survey

Loughran, Tim; McDonald, Bill - In: Journal of accounting research 54 (2016) 4, pp. 1187-1230

Persistent link: https://www.econbiz.de/10011557695

A market-oriented approach to accomplish product positioning and product recommendation for smart phones and wearable devices

Wang, Chih-hsuan - In: International journal of production research 53 (2015) 8, pp. 2542-2553

Persistent link: https://www.econbiz.de/10010515379