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• Ashutosh Jadhav
  '''Research interest:''' Search Intent Mining, Social Media Analytics, Health Informatics, Text Analytics, Semantic Web, ** Dissertation Title: Knowledge Driven Search Intent Mining
  25 KB (3,254 words) - 19:27, 13 April 2016
• Christopher Thomas
  **Mining of factual information from community websites and the web in general ....org/library/resource.php?id=863 Continuous Semantics to Analyze Real-Time Data]
  8 KB (1,093 words) - 22:43, 11 January 2013
• MaterialWays
  ...ion without having to adhere to specific database table structures. Linked data without context is of limited value. A semantic web for materials requires ...f materials informatics could be developed to greatly expand the materials data and design space for the materials scientists and engineers.
  35 KB (5,077 words) - 20:54, 23 November 2015
• Hierarchical Interest Graph
  ...hical Interest Graph</i>. To create such graphs, we utilize user's Twitter data to first ground potential user interests to structured background knowledge ...elow table. Following the stats we discuss some analysis of the user study data.
  24 KB (3,568 words) - 20:49, 21 January 2015
• Cursing in English on Twitter
  ...onitor harassment by understanding language of source and target users for mining intention, sentiment tone and emotions evoked. * Gender-based violence: we model gender-based dynamics in the social data stream across the world to inform policy decision making of development age
  32 KB (5,003 words) - 15:32, 26 February 2014
• Traffic
  ...ed process to a state-of-the-art tool that needs manually created training data and show that it has comparable performance in annotation tasks. An aggrega ...s, and edge directions. We illustrate the enrichment process using traffic data from 511.org and declarative knowledge from ConceptNet. The resulting enric
  8 KB (1,113 words) - 17:11, 8 January 2015
• Entity Summary
  '''Definition 1''' : A data graph is a digraph G = V, A, Lbl_V , Lbl_A , where (i) ...the property and the value, respectively. An entity e has a feature f in a data graph G = V, A, Lbl_V , Lbl_A if there exists a ∈ A s
  13 KB (1,947 words) - 23:48, 15 November 2014
• Location Prediction of Twitter Users
  ...ict the location of a Twitter user are statistical and need large training data sets to create models that predict the location of a user. In this work, we ...lphia. The disadvantage of this approach is that it needs a clean training data set containing representative tweets from all cities. This collection proce
  10 KB (1,551 words) - 03:58, 28 January 2015
• SemBigData
  '''SemBigData: Semantics-empowered Big Data Processing with Applications''' ===Characteristics of the Big Data Problem===
  61 KB (8,752 words) - 18:31, 23 October 2014
• EDrugTrends
  ...m, '''eDrugTrends''', capable of semi-automated processing of social media data to identify emerging trends in cannabis and synthetic cannabinoid use in th ....''' However, because of the volume and challenges introduced by web-based data, social media sources remain largely under-utilized in drug abuse research.
  18 KB (2,521 words) - 23:32, 2 November 2022
• Socialhealthsignal
  Domain Specific Document Retrieval Framework for Near Real-time Social Health Data ...addition to tweets, we use URLs’ (mentioned in the tweet) content as the data source. Finally, the results are ranked according to relevance and populari
  7 KB (1,109 words) - 21:01, 15 May 2015
• PC
  ...social (all the human interactions and conversations) spheres [SAH13]. Web data may contain event of interest to everyone (e.g., climate), to many (e.g., t ...to actively interact with the surrounding environment in order to collect data of relevance useful for understanding the world around us.<br/>
  24 KB (3,538 words) - 20:33, 21 May 2015
• Project Safe Neighborhood
  ...E/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016)] San Francisco, CA, USA; 2016. ...twitter 'Finding Street Gang Members on Twitter'], Invited Talk at the Big Data Surveillance Analytics Mini Conference at Wright State University, Dayton,
  8 KB (1,165 words) - 21:15, 7 November 2016
• Swapnil Soni Thesis
  Domain Specific Document Retrieval Framework for Near Real-time Social Health Data. ...eedings of the fourth ACM inter-national conference on Web search and data mining, pages 35–44. ACM, 2011.</ref>. When OHIS turn to search engine or microb
  11 KB (1,771 words) - 14:30, 20 December 2016
• Context-Aware Harassment Detection on Social Media
  ...ensive and reliable context-aware techniques (using machine learning, text mining, natural language processing, and social network analysis) to glean informa ...Challenges and Opportunities in Computational Social Network Analysis and Mining", Springer Nature, 2019.<br/>
  21 KB (2,791 words) - 17:13, 7 February 2024
• Modeling Social Behavior for Healthcare Utilization in Depression
  ...nd behavioral outcomes across the lifespan. This project will apply “big data” ...d private insurance (UnitedHealthCare/Optum Labs) reimbursement and claims data
  13 KB (1,758 words) - 18:28, 13 May 2021
• Social and Physical Sensing Enabled Decision Support
  ...ate major in data analytics, and Wright State University’s Big and Smart Data graduate certificate program. ...rmation related to civil infrastructure from language-based citizen sensed data sets across the stages of the disaster life-cycle (preparedness, response &
  19 KB (2,457 words) - 20:03, 5 June 2020
• Market Driven Innovations and Scaling up of Twitris
  ..., knowledge-enabled modules to handle high volume, variety and velocity of data. ...er Yuksel, Sergio Biggemann, Amit Sheth, Jeremy Brunn (2016). Using Social Data to Understand Brand Development. Direct/Interactive Marketing Research Summ
  16 KB (1,995 words) - 22:39, 12 June 2018
• Citypulse
  ==CityPulse: Real-Time IoT Stream Processing and Large-scale Data Analytics for Smart City Applications== ...a city allowing citizens, city authorities, and developers to exploit this data to obtain timely information for informed decision making.
  14 KB (2,058 words) - 15:52, 24 March 2016
• Kno.e.sis research in Social Media for Social Good
  ...tate University] is widely known for its interdisciplinary research in big data working with more than 40 [http://knoesis.wright.edu/aboutus/collaborators ...edical use of painkillers, reducing hospital readmissions, cardiology data mining, and literature-based knowledge discovery).
  8 KB (1,166 words) - 16:12, 12 February 2016

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