Business, Commerce, Economics & Computer Sciences: Recent submissions

  • Migration to Goa from other Indian states: A trend analysis 
    Devi, P.S. (Zenith International Journal of Multidisciplinary Research. 9(12); 2019; 14-26.)
    Goa, the smallest state of India, attracts a number of migrants from other states of India. In fact, the proportion of migrants from other states to total population is highest for Goa among all states at 18.5 percent. ...
  • Banks Lending to Micro, Small and Medium Enterprises in Goa: An Empirical Study 
    Tarpe, Atmaram M.
  • Predicting engagement using machine learning techniques 
    Naik, V.; Kamat, V.V. (26th Int. Conf. on Computers in Education, Doctoral Student Consortium Proceedings (ICCE 2018). 26-30 Nov 2018. 2018; 17-20.)
    A learner who is sufficiently involved in the learning process will surely show higher performance with respect to the objectives set for the process. With detailed planning of every miniscule unit of learning in place, ...
  • Analyzing relation between response time, engagement and performance 
    Naik, V.; Kamat, V.V. (Proc. IEEE 9th International Conference on Technology for Education (T4E). 10-13 Dec 2018. 2018; 110-113.)
    Student that is sufficiently involved in the learning process usually shows higher performance with respect to the objectives set for the process. Of course, this requires alignment of the instructional strategy with the ...
  • Regimen difficulty and medication non-adherence and the interaction effects of gender and age 
    Dalvi, V.; Mekoth, N. (Hospital topics. 96(2); 2018; 35-41.)
    Medication non-adherence is a global health issue. Numerous factors predict it. This study is aimed to identify the association between regimen difficulty and medication non-adherence among patients with chronic conditions ...
  • Disguised public key for anonymity and enforced confidentiality in summative e-examinations 
    Gauns-Dessai, K.G.; Kamat, V.V. (Advances in Computing and Data Sciences (ICACDS). Communications in Computer and Information Science, Ed. by: MayankSingh, Gupta, P.K., Tyagi, V., Flusser, J., Oren, T. 905; 2018; 84-94.)
    The two crucial assets of summative examination are question paper and the answers-scripts. Maintenance of secrecy of question paper/answers-scripts within its defined perimeters is extremely important to protect the ...
  • Discovering language independent latent aspect clusters from code-mixed social media text 
    Asnani, K.S.; Pawar, J.D. (Proc. of the 30th Int. Florida Artificial Intelligence Research Society Conference (FLAIRS). 22-24 May 2017. 2017; 592-595.)
    In recent times, code-mixing has become prevalent in social networking as people communicate in multiple languages. This is become a trend and is significantly popular especially in multilingual countries. This has led to ...
  • Recognition of online handwritten Bangla characters using hierarchical system with Denoising Autoencoders 
    Pal, A.; Pawar, J.D. (4th IEEE Sponsored Int. Conf. on Computation of Power, Energy, Information and Communication (ICCPEIC). 22-23 Apr 2015. 2015; 47-51.)
    This work describes the recognition of online handwritten Bengali characters using Deep Denoising Autoencoder with Multilayer Perceptron (MLP) trained through backpropagation algorithm [1]. Initial pre-training has been ...
  • Promise, Trust and Evolution: Managing the Commons of South Asia 
    Ghate, R.; Jodha, N.S.; Mukhopadhyay, P. (Oxford University Press. 2008; 417pp.)
    From land management to water rights, this book looks at the current status of Common Property Resources, or CPRs, in South Asia. Developed countries have managed to establish well-defined property rights over numerous ...
  • An attribute based storage method for speeding up CLIQUE algorithm for subspace clustering 
    Pawar, J.D.; Rao, P.R. (Proc. of the International Database Engineering and Applications Symposium (IDEAS). 11-14 Dec 2006. 2006; 309-310.)
    The subspace clustering algorithm CLIQUE finds all subspace clusters including overlapping clusters existing in high dimensional datasets. CLIQUE consists of three main steps namely - (1) identification of subspaces that ...

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