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  • 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) - 14:24, 12 August 2009
  • #REDIRECT [[WSU & AFRL Window-on-Science Seminar on Data Mining]]
    88 bytes (10 words) - 13:12, 13 August 2009

Page text matches

  • ...ocess management complements daytaOhio's mission to leverage innovation in data-intensive technologies for economic expansion. * [[Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare]]
    8 KB (1,100 words) - 00:39, 9 August 2017
  • ...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) - 23:33, 17 April 2011
  • 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) - 12:17, 11 August 2009
  • 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) - 14:24, 12 August 2009
  • #REDIRECT [[WSU & AFRL Window-on-Science Seminar on Data Mining]]
    88 bytes (10 words) - 13:12, 13 August 2009
  • ...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) - 12:03, 15 October 2009
  • ...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
    26 KB (3,817 words) - 13:24, 24 May 2017
  • ...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 (8,474 words) - 16:48, 3 July 2017
  • ..., 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) - 12:44, 19 December 2011
  • The second consideration is that data col- mation. Data is the most important asset the
    12 KB (1,688 words) - 11:43, 30 July 2010
  • ...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) - 11:34, 3 August 2010
  • ...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 (5,117 words) - 13:20, 24 May 2017
  • ...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) - 13:20, 22 November 2010
  • ...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) - 18:16, 13 April 2011
  • ..., 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) - 18:36, 11 January 2013
  • ...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) - 15:39, 22 November 2011
  • ...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) - 20:13, 19 November 2011
  • ...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) - 09:21, 27 June 2016
  • *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) - 16:33, 11 December 2014
  • '''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) - 15:27, 13 April 2016

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