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ORCIDInternational Journal of Data Analysis Techniques and Strategies, Volume 14
Volume 14, Number 1, 2022
- Hetal A. Joshiara, Chirag S. Thaker, Sanjay M. Shah, Darshan B. Choksi:
Detection of stragglers and optimal rescheduling of slow running tasks in big data environment using LFCSO-LVQ classifier and enhanced PSO algorithm. 1-21 - Sharaf AlKheder, Fahad AlRukaibi, Ahmad Aiash:
Location and time factors' effect on types of traffic accident in Kuwait. 22-31 - Meenal Jain, Vikas Saxena:
An ECOSVS-based support vector machine for network anomaly detection. 32-54 - Apsara Karki Nepal, Ghulam Muhammad Shah, Farid Ahmad:
Is matching in different situations equally applicable for impact evaluation studies when using observational data? 55-78 - Rayees Farooq:
Heywood cases: possible causes and solutions. 79-88
Volume 14, Number 2, 2022
- Simone Maria Da Silva Lima
, Caroline Maria de Miranda Mota, Danielle Freitas Santos Marinho:
Inequalities in the geographic distribution of chronic diseases in Brazil: an index methodology. 89-104 - Parita Shah, Priya Swaminarayan:
Machine learning-based sentiment analysis of Gujarati reviews. 105-121 - Abu Bakkar Siddique, Mahfuzulhoq Chowdhury:
A machine learning-based approach to predict university students' depression pattern and mental healthcare assistance scheme using Android application. 122-139 - Srilakshmi Inuganti, R. Rajeshwara Rao:
Recognition of online handwritten Telugu stroke by detected dominant points using curvature estimation. 140-158 - Rajesh Veluthan:
Long-term corporate social responsibility agenda considering climate change policy and conservation of forest - an exploratory analysis of Kerala-based companies. 159-168
Volume 14, Number 3, 2022
- Arti Chandani, Rahul Dubey:
Application of Machine Learning in Banking and Finance: A Bibliometric Analysis. - Anuradha Sarkar, Sasadhar Bera, Indrajit Mukherjee, Vinay Kumar:
An efficient Mahalanobis-Taguchi system for nonlinear multi-class classification problem. - Lawrence Oseremen Agbator, Benjawan Srisura:
Stock prediction using non-negative discriminative feature selection. - R. K. Pavan Kumar Pannala, Sandeep Kumar Mogha, Neha Sharma, Vikas Garg:
Combined Shannon's entropy and DEA: case of Indian hotel and restaurant sector. - Rahul Dubey, Arti Chandani:
Application of machine learning in banking and finance: a bibliometric analysis. - Divakar Yadav, Aarushi Gupta, Arti Jain, Arun Kumar Yadav:
Plant leaf disease detection using CNN with transfer learning and XGBoost.
Volume 14, Number 4, 2022
- Andreja Naumoski, Georgina Mirceva, Kosta Mitreski:
Webber t-norm and its influence on QuickRules and VQRules fuzzy-rough rule induction algorithms. - Mohamed Maher Ben Ismail:
Insult detection using a partitional CNN-LSTM model. - Marina Bagic Babac, Ignacio Martín Borregón Musso:
Opinion mining of online product reviews using a lexicon-based algorithm. - Brandon Schoenfeld, Kevin D. Seppi, Christophe G. Giraud-Carrier:
Metalearning using structure-rich pipeline representations for improved AutoML. - Kommu Gangadhara Rao, S. Vatchala, Takkedu Malathi S., S. Shitharth, Hariprasath Manoharan, Lakshmi Narayanan:
Prognosis of Urban Environs using Time Series Analysis for Preventing Overexploitation using Artificial Intelligence. - Mohamed Maher Ben Ismail:
Insult detection using a partitional CNN-LSTM model. - Mohammed Khojah, Abdulrhman M. Alshareef:
The Impact of Online Trading from a Personal and Technical Perspective on Trade Stocks in Emerging Markets. - Christophe G. Giraud-Carrier, Kevin D. Seppi, Brandon Schoenfeld:
Metalearning using structure-rich pipeline representations for improved AutoML. - Ignacio Martín Borregón Musso, Marina Bagic Babac:
Opinion mining of online product reviews using a lexicon-based algorithm. - R. Sujatha, B. Uma Maheswari, A. Mansurali:
Application of machine learning algorithms to predict survival of micro small and medium enterprises in India. - A. Mansurali, B. Uma Maheswari, R. Sujatha:
Application of machine learning algorithms to predict survival of micro small and medium enterprises in India. - Kosta Mitreski, Georgina Mirceva, Andreja Naumoski:
Webber t-norm and its influence on QuickRules and VQRules fuzzy-rough rule induction algorithms.
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