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CODS '17: Proceedings of the 4th ACM IKDD Conferences on Data Sciences
ACM2017 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
CODS '17: Fourth ACM IKDD Conferences on Data Sciences Chennai India March 9 - 11, 2017
ISBN:
978-1-4503-4846-1
Published:
09 March 2017
In-Cooperation:
SIGKDD, Amazon

Bibliometrics
Abstract

No abstract available.

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research-article
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 ...

research-article
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 ...

research-article
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 ...

research-article
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 ...

research-article
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 ...

research-article
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 ...

research-article
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 ...

research-article
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 ...

research-article
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. ...

demonstration
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 ...

demonstration
demonstration
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 ...

research-article
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 ...

research-article
Recommending resolutions of ITIL services tickets using Deep Neural Network
Article No.: 14, pp 1–10https://doi.org/10.1145/3041823.3041831

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 ...

research-article
On Discovery of permanent land cover changes using time series segmentation approach
Article No.: 15, pp 1–10https://doi.org/10.1145/3041823.3041832

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 ...

research-article
Noisy Deep Dictionary Learning
Article No.: 16, pp 1–10https://doi.org/10.1145/3041823.3041826

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 ...

research-article
Detecting Factual and Non-Factual Content in News Articles
Article No.: 17, pp 1–12https://doi.org/10.1145/3041823.3041837

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 have been assigned to the content through auto-classification.

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Acceptance Rates

Overall Acceptance Rate197of680submissions,29%
YearSubmittedAcceptedRate
CoDS COMAD 20202757828%
CODS-COMAD '191986231%
CODS-COMAD '181505033%
CODS '1457712%
Overall68019729%