3 citations · 12 across the 6 of their papers we have counts for
6 papers
A Communication Efficient and Scalable Distributed Data Mining for the Astronomical Data
Aruna Govada, Sanjay K. Sahay
In 2020, ~60PB of archived data will be accessible to the astronomers. But to analyze such a paramount data will be a challenging task. This is basically due to the computational m…
Covariance estimation for vertically partitioned data in a distributed environment
Aruna Govada, Sanjay K. Sahay
The major sources of abundant data are constantly expanding with the available data collection methodologies in various applications - medical, insurance, scientific, bio-informati…
A Novel Approach to Distributed Multi-Class SVM
Aruna Govada, Shree Ranjani, Aditi Viswanathan +1
With data sizes constantly expanding, and with classical machine learning algorithms that analyze such data requiring larger and larger amounts of computation time and storage spac…
Hybrid Approach for Inductive Semi Supervised Learning using Label Propagation and Support Vector Machine
Aruna Govada, Pravin Joshi, Sahil Mittal +1
Semi supervised learning methods have gained importance in today's world because of large expenses and time involved in labeling the unlabeled data by human experts. The proposed h…
Distributed Multi Class SVM for Large Data Sets
Aruna Govada, Bhavul Gauri, S. K. Sahay
Data mining algorithms are originally designed by assuming the data is available at one centralized site.These algorithms also assume that the whole data is fit into main memory wh…
Centroid Based Binary Tree Structured SVM for Multi Classification
Aruna Govada, Bhavul Gauri, S. K. Sahay
Support Vector Machines (SVMs) were primarily designed for 2-class classification. But they have been extended for N-class classification also based on the requirement of multiclas…