Synopsis:
Ict: Data: (*)data_mining: Text mining:
(Management for Professionals) Jan vom Brocke, Theresa Schmiedel (eds.)-BPM - Driving Innovation in a Digital World-Springer International Publishing (2015).pdf
for example, meanwhile allow for real-time mining of business processes based on the digital traces that single process steps leave or based on text mining possibilities (Gu nther, Rinderle-Ma, Reichert, Van der
ICT for Societal Challenges.pdf
It then applies text mining, epidemiological and other computational techniques to assess and detect‘signals'.'http://www. eu-adr-project. com Funded by the Seventh Framework Programme (FP7) Duration:
Impact of ICT on Home Healthcare 2012.pdf
In addition, some preliminary work on patient compliance prediction has been done by applying statistical methods and text mining techniques 15.
Use of text mining to predict patient compliance. SAS Global Forum, Proquest (2008) 16. Banescu, S.,Zannone, N.:
Innovation driven growth in Regions The role of Smart specialisation.pdf
regionalisation of publication data currently requires text mining and programming procedures. Regionalization of the Scopus data is given even more cumbersome the lower quality of the address information in this database.
and term frequencies originated from text mining, on the other hand, are usually not sufficient at this level if applied alone.
social network enhanced digital city management and innovation success- a prototype design.pdf
His research interests are in the fields of data/text mining, business process simulation, software agent applications,
Vincenzo Morabito (auth.)-Trends and Challenges in Digital Business Innovation-Springer International Publishing (2014) (1).pdf
70 4. 3. 1 Text mining and Conversation's Analysis...72 4. 3. 2 Classification and Analysis Methods and Solutions...
clear and userfriendly systems able to really help consumers in their online decision making processes. 4. 3. 1 Text mining
and Conversation's Analysis The developing potential about text mining for sentiment analysis and opinion mining represents an extension
and evolution of the traditional researches about text mining. In particular sentiment analysis means the computerized analysis of opinions,
Lu H-M, Chen H, Chen T-J, Hung M-W, Li S-H (2010) Financial text mining:
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