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 Dhaval Patel

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Average citations per article0.91
Citation Count10
Publication count11
Publication years2013-2016
Available for download9
Average downloads per article185.67
Downloads (cumulative)1,671
Downloads (12 Months)267
Downloads (6 Weeks)31
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1 published by ACM
July 2016 HT '16: Proceedings of the 27th ACM Conference on Hypertext and Social Media
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 35,   Downloads (Overall): 122

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This paper presents a novel system E3 for extracting keyphrases from news content for the purpose of offering the news audience a broad overview of news events, with especially high content volume. Given an input query, E3 extracts keyphrases and enrich them by tagging, ranking and finding role for frequently ...
Keywords: keyphrase enrichment, keyphrase ranking, news media summary, keyphrase extraction

December 2015 BDA 2015: Proceedings of the 4th International Conference on Big Data Analytics - Volume 9498
Publisher: Springer-Verlag New York, Inc.
Citation Count: 0

Given a dataset, exemplars are subset of data points that can represent a set of data points without significance loss of information. Affinity propagation is an exemplar discovery technique that, unlike k---centres clustering, gives uniform preference to all data points. The data points iteratively exchange real---valued messages, until clusters with ...
Keywords: Gene, Exemplar and clustering

3 published by ACM
October 2015 CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 49,   Downloads (Overall): 204

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News-casters are Twitter users who periodically pick up interesting news from online news media and spread it to their followers' network. Existing works on Twitter user analysis have only analysed a pre-defined set of users for user modeling, influence analysis and news recommendation. The problem of identifying prominent , trustworthy ...
Keywords: news, news-tweet, tweet authentication, twitter, user profiling

July 2015 IJCAI'15: Proceedings of the 24th International Conference on Artificial Intelligence
Publisher: AAAI Press
Citation Count: 0

Trivia is any fact about an entity which is interesting due to its unusualness, uniqueness, unexpectedness or weirdness. In this paper, we propose a novel approach for mining entity trivia from their Wikipedia pages. Given an entity, our system extracts relevant sentences from its Wikipedia page and produces a list ...

5 published by ACM
July 2015 C3S2E '15: Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 13,   Downloads (Overall): 83

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Utility Mining (UM) in context of Market Basket Analysis consists of mining itemsets from a transaction database guided by optimizing utility. For example, UM consists of extracting all itemsets in a transaction database having utility above a user-defined minimum threshold or mining Top-K high utility itemset. Similarly, Frequent Itemset Mining ...
Keywords: Association Rule Mining, FP-Tree, Utility-Based Data Mining, Utility-Frequency Skyline Itemsets, Multi-Objective Optimization

6 published by ACM
March 2015 CoDS '15: Proceedings of the Second ACM IKDD Conference on Data Sciences
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Downloads (Overall): 59

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The time complexity of Minimum Description Length based greedy agglomerative clustering algorithm is poor for a large data set. In this paper, we propose three different versions of GPU-based parallel algorithms, namely, time-efficient, memory-efficient and out-of-core algorithms to improve the running time of algorithm. We conduct extensive set of experiments ...
Keywords: MDL clustering, GPU computing, out-or-core algorithm

7 published by ACM
March 2015 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 6 Issue 1, April 2015
Publisher: ACM
Citation Count: 2
Downloads (6 Weeks): 4,   Downloads (12 Months): 29,   Downloads (Overall): 232

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A moving object cluster is a set of objects that move close to each other for a long time interval. Existing works have utilized object trajectories to discover moving object clusters efficiently. In this article, we define a spatiotemporal influence-based moving cluster that captures spatiotemporal influence spread over a set ...
Keywords: Spatiotemporal events, spatiotemporal influence-based moving clusters

December 2014 COMAD '14: Proceedings of the 20th International Conference on Management of Data
Publisher: Computer Society of India
Citation Count: 0
Downloads (6 Weeks): 3,   Downloads (12 Months): 11,   Downloads (Overall): 89

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A typical news web page consists of news articles. Along with the news article content tags, it also contains tags of navigation links, privacy & copyright information and advertisements. These tags are called as noise tags. Given an online news article in html form, existing works extract articles by discovering ...

9 published by ACM
October 2014 I-CARE 2014: Proceedings of the 6th IBM Collaborative Academia Research Exchange Conference (I-CARE) on I-CARE 2014
Publisher: ACM
Citation Count: 2
Downloads (6 Weeks): 3,   Downloads (12 Months): 40,   Downloads (Overall): 202

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News headlines represent the key idea of news articles published in online news media and act as a great resource for discovering news concepts and their relationships. Moreover, the temporal information associated with the news headlines can be utilized to capture the temporal dynamics of the news concepts and their ...
Keywords: News Headlines, News Concept and Relationship Discovery

January 2014 The Journal of Machine Learning Research: Volume 15 Issue 1, January 2014
Citation Count: 5
Downloads (6 Weeks): 15,   Downloads (12 Months): 78,   Downloads (Overall): 507

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Click fraud-the deliberate clicking on advertisements with no real interest on the product or service offered-is one of the most daunting problems in online advertising. Building an effective fraud detection method is thus pivotal for online advertising businesses. We organized a Fraud Detection in Mobile Advertising (FDMA) 2012 Competition, opening ...
Keywords: imbalanced classification, ensemble learning, feature engineering, fraud detection

11 published by ACM
October 2013 I-CARE '13: Proceedings of the 5th IBM Collaborative Academia Research Exchange Workshop
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 0,   Downloads (12 Months): 7,   Downloads (Overall): 173

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The current generation mobile phones (a.k.a. Smart phones) are becoming one of the main information processing devices for users these days. Using it, a user not only receives and makes calls, but also performs complicated tasks requiring large processing. However, a unary mobile phone is still resource constrained, and some ...
Keywords: mobile compute cloud, Android OS, distributed computation

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