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Multi-criteria Recommendations through Preference Learning
In today's internet era, recommender system (RS) addresses information overload problem, which is common in many information driven domains. RS helps users chose a set of appropriate options from a plethora of options. Traditional single rating ...
Supervised Analysis Dictionary Learning: Application in Consumer Electronics Appliance Classification
The objective of this paper is to estimate if an electrical appliance is 'ON' based on their common mode electromagnetic (CM EMI) emissions. The assumption being that, a user by knowing the state of the appliance can make an informed decision whether to ...
Embedding Learning of Figurative Phrases for Emotion Classification in Micro-Blog Texts
Figurative phrases such as idioms are a type of Multi-Word Expressions (MWE) that possess a specialized meaning, which is independent and different from the literal meaning of the constituent words. Figurative language is widely used to express emotions ...
Hybrid Trust-Aware Model for Personalized Top-N Recommendation
Due to the large quantity and diversity of content being easily available to users, recommender systems (RS) have become an integral part of nearly every online system. They allow users to resolve the information overload problem by proactively ...
Modeling and detecting change in user behavior through his social media posting using cluster analysis
According to World Health Organization, one of the greatest health hazards of 21st century is mental disorder. Unlike any physical illness, mental illness is not that apparent to be recognized at early stages. Also, especially in India, patients do not ...
Protein Structure Optimization in 3D AB off-lattice model using Biogeography Based Optimization with Chaotic Mutation
Protein structure prediction (PSP) from its amino acid sequence is a challenging problem in computational biology and can be considered as a global optimization problem. It is a multi-modal optimization problem and belongs to NP-hard class. In this ...
A user activity-based measurement study characterizing and classifying Stack Exchange communities across multiple domains
In recent times, Question-Answer communities have engaged much user attention and have become a major platform for knowledge sharing and discussion. Stack Exchange (SE) is one such successful community which is a collection of various domain-specific ...
Spatio-temporal Autocorrelation Analysis for Regional Land-cover Change Detection from Remote Sensing Data
Of the various applications of remote sensing data, characterizing the land-cover dynamics is of utmost significance, providing insights into science, management policy, and several regulatory actions. Recent research works indicate that there is a need ...
Role of Temporal Diversity in Inferring Social Ties Based on Spatio-Temporal Data
The last two decades have seen a tremendous surge in research on social networks and their implications. The studies include inferring social relationships, which in turn have been used for target advertising, recommendations, search customization etc. ...
Differentiating Code-Borrowing from Code-Mixing
In linguistics, Code-Switching and Code-Borrowing are two separate concepts and identifying them is a challenging task. The social media dataset for the challenge [1] consists of English-Hindi tweets. We have designed an ensemble model for the challenge ...
Borrowing Likeliness Ranking based on Relevance Factor
Code mixing and code borrowing are the two important linguistic phenomena seen among the bilingual and multilingual speakers. The present scenario demands highly efficient methods to distinguish code borrowing from code mixing to quickly process the ...
Modeling End-of-Online-Session From Streaming Data
Engagement of consumers has become increasingly important for online marketers. When a potential consumer arrives on its online platform and interacts with it, two important and interrelated questions arise. One whether the consumer is engaged in the ...
Recommending resolutions of ITIL services tickets using Deep Neural Network
- Durga Prasad Muni,
- Suman Roy,
- Yeung Tack Yan John John Lew Chiang,
- Antoine Jean-Marie Viallet,
- Navin Budhiraja
Application development and maintenance is a good example of Information Technology Infrastructure Library (ITIL) services in which a sizable volume of tickets are raised everyday for different issues to be resolved in order to deliver uninterrupted ...
On Discovery of permanent land cover changes using time series segmentation approach
Sustainable land management is one of the crucial aspects that need to be considered in order to protect the resources for future generations. Understanding of land cover changes that occurred during the past decade is necessary to formulate policies ...
Noisy Deep Dictionary Learning
In a recent work, the concept of deep dictionary learning was proposed. Learning a single level of dictionary is a well researched topic in image processing and computer vision community. In deep dictionary learning, the first level proceeds like ...
Detecting Factual and Non-Factual Content in News Articles
News articles are a major source of facts about the current state and events of our surrounding world. However, not all news articles are equally rich in presenting the facts. In this paper, we consider the problem of detecting factual and non-factual ...
Index Terms
- Proceedings of the 4th ACM IKDD Conferences on Data Sciences
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
CoDS COMAD 2020 | 275 | 78 | 28% |
CODS-COMAD '19 | 198 | 62 | 31% |
CODS-COMAD '18 | 150 | 50 | 33% |
CODS '14 | 57 | 7 | 12% |
Overall | 680 | 197 | 29% |