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  • WSU & AFRL Window-on-Science Seminar on Data Mining
    The purpose of this seminar is to exchange ideas on Data Mining and establish communication for possible future collaboration. The Air Forc ...alid, novel, potentially useful, and ultimately understandable patterns in data.
    10 KB (1,383 words) - 18:24, 12 August 2009
  • Seminar on Data Mining
    #REDIRECT [[WSU & AFRL Window-on-Science Seminar on Data Mining]]
    88 bytes (10 words) - 17:12, 13 August 2009

Page text matches

  • AIISC WIKI
    ...management complements South Carolina's mission to leverage innovation in data-intensive technologies for economic expansion. * [[Community-Driven Data Engineering for Substance Abuse Prevention in the Rural Midwest]], ''Start
    10 KB (1,249 words) - 16:26, 19 February 2024
  • Public Health Addictions Research at AIISC
    ....com/science/article/abs/pii/S0376871620302805/ Listed for sale: Analyzing data on fentanyl, fentanyl analogs and other novel synthetic opioids on one cryp ...www.youtube.com/watch?v=28ir_FpK9qU/"Collecting and Analyzing Cryptomarket Data on Novel Synthetic Opioids"]
    21 KB (2,884 words) - 18:55, 1 December 2022
  • SWPM-2009
    ...00am): Semantic Provenance for Science Data Products: Application to Image Data Processing, ''Stephan Zednik,Peter Fox, Deborah L. McGuinness, Paulo Pinhei ** Presentation 3 (11:30am - 12:00noon): A New Perspective on Semantics of Data Provenance(Invited Paper), ''Sudha Ram and Jun Liu''
    15 KB (2,071 words) - 03:33, 18 April 2011
  • Datamining abstracts
    “Data Mining Techniques: Overview & Recent Developments” ...able patterns in data. There are standard techniques that are used in data mining to fulfill these requirements, including: knowledge represented in rules (a
    7 KB (945 words) - 16:17, 11 August 2009
  • WSU & AFRL Window-on-Science Seminar on Data Mining
    The purpose of this seminar is to exchange ideas on Data Mining and establish communication for possible future collaboration. The Air Forc ...alid, novel, potentially useful, and ultimately understandable patterns in data.
    10 KB (1,383 words) - 18:24, 12 August 2009
  • Seminar on Data Mining
    #REDIRECT [[WSU & AFRL Window-on-Science Seminar on Data Mining]]
    88 bytes (10 words) - 17:12, 13 August 2009
  • Cloud Computing Research at Kno.e.sis
    ...ms such as clusters, grids). On the other hand we also see the privacy and data security issues and try to find better ways to manage these. ...proach has great potential to achieve both high privacy guarantee and high data utility.
    6 KB (890 words) - 16:03, 15 October 2009
  • Computing For Human Experience
    ...e item’s availability at a nearby store to advanced processing of sensor data and crowd intelligence to recommend a road rerouting or to act on behalf of ...h symbols. A key enhancement we’re already seeing is the humanization of data and observation, including social computing extending semantic computing an
    27 KB (3,973 words) - 01:41, 11 November 2023
  • Twitris
    ...nger.com/us/book/9781493971305 Encyclopedia of Social Network Analysis and Mining, Springer, 2017]: ...ollective Social Intelligence. Encyclopedia of Social Network Analysis and Mining (ESNAM), 2017, pp. 1-23.'''
    59 KB (8,490 words) - 12:50, 14 October 2021
  • SWPM-2010
    ..., to verify the quality of data, and to associate measures of trust to the data. * Efficiently capturing and propagating provenance information as data is processed, fragmented and recombined across multiple applications on a W
    15 KB (2,083 words) - 16:44, 19 December 2011
  • Modeling for cloud part1
    The second consideration is that data col- mation. Data is the most important asset the
    12 KB (1,688 words) - 15:43, 30 July 2010
  • Modeling for cloud
    ...tion is that data collected for the application might need transformation. Data is the most important asset the might even need to carry across different data
    22 KB (3,193 words) - 15:34, 3 August 2010
  • PCS
    ...nformation-knowledge-wisdom dimension, which supports reasoning to convert data into abstractions that are more familiar, accessible, and understandable by ...erve – Observation is the act of examining the environment and gathering data. The environment could be physical, examined through the human senses or ma
    36 KB (5,138 words) - 23:13, 8 April 2023
  • Blazing Semantic Trails
    ...increasingly recognized as the lynchpin of search, integrating resources (data and services), and analytics applications on the Web. We argue that relatio ...RDF now is a W3C standard for describing and exchanging semantics of Web data.
    24 KB (3,561 words) - 17:20, 22 November 2010
  • Twarql Continuous Semantics
    ...alone generates more than 100 Million microposts a day. This avalanche of data makes it difficult to seek out specific information, especially when done r ...iption</b>: Twarql encodes information from microblog posts as Linked Open Data and hence providing flexibility to filter microposts by leveraging backgrou
    5 KB (715 words) - 22:16, 13 April 2011
  • Doozer
    ..., we created domain taxonomies and compared them with tools specialized in mining Wikipedia and human-composed glossaries. These comparisons are now describe ...ed against a reduced glossary, for the lists of terms generated by various mining tools]]
    39 KB (6,172 words) - 22:36, 11 January 2013
  • Understanding User's Geographic Context
    ...ta set and distribute it on our own Virtuoso server. We now can access the data from our own Sparql endpoint [http://knoesis-twit.cs.wright.edu:8890/sparql ...style="font-size:11.5pt">I collect data from Twitter for experiments. The data are collected as follows using Twitter Streaming API: (1) as the first stag
    13 KB (2,047 words) - 19:39, 22 November 2011
  • EKPE
    ...m to extract the key phrases of what is being said about an event from the data. That is what we called event-specific key phrases extraction. We define th ...aid about an event. For example, we get the following key phrases from the data talking about “Osama’s death”: Osama Bin Laden, Osama’s death, wat
    9 KB (1,431 words) - 00:13, 20 November 2011
  • Cory Andrew Henson
    ...hnologies for the representation, management, and interpretation of sensor data, both on the Web and on resource-constrained devices (such as smart phones) ...adoption and application within the sensing community for managing sensor data on the Web. [http://knoesis.org/projects/ssw/ SSW Project]
    27 KB (3,564 words) - 13:21, 27 June 2016
  • Mary Panahiazar
    *Data Mining, Text Mining for Prediction and Decision Making. ...a Sources such as Experimental Data and Results from Structural Data sets, Data from Scientific Literature and Academic Articles.
    12 KB (1,688 words) - 20:33, 11 December 2014
  • 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<sub>V</sub> , Lbl<sub>A</sub> , where (i) ...the property and the value, respectively. An entity e has a feature f in a data graph G = V, A, Lbl<sub>V</sub> , Lbl<sub>A</sub> 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
  • Vinh Nguyen
    ...Web, Knowledge Graph, Knowledge Discovery, and related data management and data integration. ...[http://wdaqua.eu/partners/ Learning Week of Answering Questions using Web Data], Université Jean Monnet Saint-Étienne, France, July 2017.
    26 KB (3,491 words) - 14:24, 12 January 2022
  • SmartIoTWorkshopAAAI2018
    SmartIoT 2018 Workshop: AI enhanced IoT data processing for Intelligent Applications The purpose of the workshop is to discuss how AI techniques can help consume data from IoT to build intelligent applications. The workshop aims to bring toge
    17 KB (2,359 words) - 15:08, 20 February 2018
  • KE4WoTChallengeWWW2018
    ...o data generated by things/devices using the benefits of Web technologies. Data is exploited by WoT applications to monitor healthcare or even control home ...t in standardization in designing models to represent devices and produced data as demonstrated by the following standards. Those models should be used to
    39 KB (5,707 words) - 13:23, 23 March 2021
  • Knowledge will Propel Machine Understanding of Content
    ...ess in our ability for deeper understanding and exploitation of multimodal data and continued incorporation of knowledge in learning techniques. ...an be both feasible and beneficial in situations where there is not enough data or adequate methodology to learn the nuances associated with the concepts a
    48 KB (7,173 words) - 13:20, 13 May 2018
  • Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience
    ...er contextual tailoring, human-centric computation provides a personalized data interpretation that most users find highly relevant to their needs. The aut ...oT, Internet of Everything, IoE, Web evolution, Web 3.0, semantic Web, big data
    35 KB (5,073 words) - 18:51, 30 October 2022
  • ProfSvc
    <nowiki>Finding Street Gang Members on Twitter, at the Big Data Surveillance Analytics Mini Conference, Wright State University, Dayton, OH ...//www.widsconference.org/farahnaz-golroo.html Stanford University Women in Data Science (WiDS) Conference,] <nowiki>Kno.e.si</nowiki>s - Wright State Unive
    10 KB (1,301 words) - 16:30, 4 March 2018
  • CKG2018
    ...over CKGs, (iii) using CKGs in applications such as query answering, data mining, or machine learning, (iv) techniques to benchmark or improve the performan ...ex questions requires the contextual information to be incorporated to the data model. The complex questions are ranging from the macro (have there been un
    11 KB (1,513 words) - 17:59, 9 October 2018
  • Knoesis Alchemy of Healthcare
    *Segment labeling of biomedical unstructured/structured data *Domain-specific sentiment mining in healthcare
    13 KB (1,859 words) - 20:14, 4 September 2018
  • Answer-Robotic-SemanticWeb-IoT-Workshop-IROS2019
    * Integration of local robotic knowledge with data from the Web * Knowledge Graphs, Linked Data and semantic technologies for robots
    29 KB (4,093 words) - 16:14, 4 November 2019
  • Knowledge Graphs and Knowledge Networks: The Story in Brief
    ...rmance, and maintainability, especially for the applications involving big data. A simpler and practical view of KG is that the graph representation with t ....e. neurons/hidden units). However, with the tremendous amount of training data, uncertainty in generalization on domain-specific tasks, and delta improvem
    31 KB (4,569 words) - 02:30, 19 July 2019
  • Covid19
    =COVID-19: Public Health Study: Semantic Analysis of Social Media and New Big Data to understanding COVID-19's impact on mental health, addiction and gender-b ...interpretation in this knowledge base. The interpretation of social media data is assisted through ~700K COVID-related news articles (January 01 to March
    16 KB (2,230 words) - 00:41, 21 November 2020
  • Community-Driven Data Engineering for Substance Abuse Prevention in the Rural Midwest
    |name = Community-Driven Data Engineering for Substance Abuse Prevention in the Rural Midwest |above = Community-Driven Data Engineering for Substance Abuse Prevention in the Rural Midwest
    10 KB (1,416 words) - 18:12, 13 May 2021
  • Modeling Radicalization on Social Media
    ...l media platforms (i.e., Twitter and Reddit), using machine learning, text mining, natural language processing, and social network analysis. ...Challenges and Opportunities in Computational Social Network Analysis and Mining", Springer Nature, 2019.<br/>
    10 KB (1,404 words) - 16:38, 21 September 2020
  • Modeling Radicalization on Social Media using Knowledge-infused and Context-aware Learning
    ...l media platforms (i.e., Twitter and Reddit), using machine learning, text mining, natural language processing, and social network analysis. ...Challenges and Opportunities in Computational Social Network Analysis and Mining", Springer Nature, 2019.<br/>
    13 KB (1,755 words) - 16:59, 3 October 2020
  • Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus
    * data mining # Nguyen, V., & Bodenreider, O. (2021) '''[https://data.lhncbc.nlm.nih.gov/public/mor/pubs/pdf/2021-medinfo-vn.pdf Adding an Attent
    6 KB (890 words) - 13:25, 13 September 2021
  • Advancing Neuro-symbolic AI with Deep Knowledge-infused Learning
    # AI systems have been stymied due to the lack of safety in data-driven AI. We have started to investigate how using domain (including proce ...source for bringing crowd perspective in training DLMs over conversational data. On the left is a sample post from r/depression help which sees inquisitive
    39 KB (5,333 words) - 22:21, 20 December 2023
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