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Data mining techniques for portal participants profiling

Danuta Zakrzewska, Justyna Kapka
2007 Annales UMCS Informatica  
Combination of sequential pattern mining and clustering techniques is proposed. We describe the data preparation process. The experiments conducted for real data log files are discussed.  ...  In the paper application for data mining algorithms, for finding patterns together with different groups of preferences is considered. We base our research on the data contained in log files.  ...  In the paper we propose using data mining techniques for portal participants segmentation.  ... 
dblp:journals/umcs/ZakrzewskaK07 fatcat:wimujpulczgi3fryn7dgigp5yu

GameFoundry: Social Gaming Platform for Digital Marketing, User Profiling and Collective Behavior

Filipe Oliveira, António Santos, Bruno Aguiar, João Sousa
2014 Procedia - Social and Behavioral Sciences  
Forwarding recent advances in data mining and knowledge extraction to this model would therefore turn it into a powerful tool to measure the impact of marketing and branding actions, while reinforcing  ...  , demographic and geographic data.  ...  statistics and data mining results (user profiling).  ... 
doi:10.1016/j.sbspro.2014.07.017 fatcat:6ebott3nzvbx3ko5x552a5mpxm

Social networking for scientists using tagging and shared bookmarks: a Web 2.0 application

Marlon E. Pierce, Geoffrey C. Fox, Joshua Rosen, Siddharth Maini, Jong Y. Choi
2008 2008 International Symposium on Collaborative Technologies and Systems  
We conclude with a survey of the applicability of clustering and other data mining techniques to these folksonomy graphs.  ...  In this paper, we discuss the system design, implementation, social network seeding, and portal capabilities.  ...  ACKNOWLEDGMENT The MSI-CIEC portal is supported by the National Science Foundation's CITEAM project, Award Number SCI-0537498.  ... 
doi:10.1109/cts.2008.4543939 dblp:conf/cts/PierceFRMC08 fatcat:xe6e3t3irbhwnmk72spuapn5wi

Online resources of cancer data: barriers, benefits and lessons

E. Gadaleta, N. R. Lemoine, C. Chelala
2010 Briefings in Bioinformatics  
With advances in high-throughput techniques, the volume of data generated has resulted in the creation of a plethora of resources for the cancer research community.  ...  This article will introduce some of these efforts, the interoperable cancer data-mining resources and repositories, from a user-perspective.  ...  Oncomine Oncomine (http://www.oncomine.org/) [65] is a password-protected, web-based, data-mining platform of cancer microarray data, used predominantly for the upstream analysis of cancer profiles  ... 
doi:10.1093/bib/bbq010 pmid:20348133 fatcat:tinslegov5hyxnx44bm2qvz6ua

Workshop and challenge on news recommender systems

Mozhgan Tavakolifard, Tobias Heintz, Jon Atle Gulla, Kevin C. Almeroth, Frank Hopfgartner, Benjamin Kille, Till Plumbaum, Andreas Lommatzsch, Torben Brodt, Arthur Bucko
2013 Proceedings of the 7th ACM conference on Recommender systems - RecSys '13  
, the interplay of news and social-media data, user interface for news portals and their implications to news recommendation, news mining and analytics, news reader behavioral models, semantic and news  ...  We released an off-line data set for bootstrapping purposes. This data set contained more than 84 million interactions recorded over a 4 week period.  ... 
doi:10.1145/2507157.2508004 dblp:conf/recsys/TavakolifardGAHKPLBBH13 fatcat:kcwiyvximfb5fkarmyg7vttfhu

The importance of socio-technical resources for software ecosystems management

Thaiana Lima, Rodrigo Pereira dos Santos, Jonice Oliveira, Cláudia Werner
2016 Journal of Innovation in Digital Ecosystems  
PDJ 150539/20016-9) for support to this research.  ...  Also, participants were asked to qualify their experience degree regarding the following areas: social networks analysis and mining, SECO and portals for managing contents and communities.  ...  These data were useful to allow us to perform some analyses of participants' profiles versus sociotechnical resources' relevance.  ... 
doi:10.1016/j.jides.2016.10.006 fatcat:g6h5lxp7jfhnfet7v4e5aqiyre

Survey and Challenges of Mining Customer Data Sets to Enhance Customer Relationship Management

Raghda M.Nasr, Sahar Nagaty, Mohammed B. Senousy
2014 International Journal of Computer Applications  
Data mining is a useful and powerful tool for any organization especially for marketing people. Data mining is used in managing relationships with customers.  ...  Table 3 : 3 Data Mining Techniques for CRM Dimensions 7.  ...  Graphics tools are used to illustrate data relationships Data Mining Tools Survey Data Mining Techniques for CRM Dimensions Each one of CRM dimensions can be divided into one or more task.  ... 
doi:10.5120/18814-0404 fatcat:nnsglidjnzh2fezfyhwl3qkkoy

Semantic e-Learning: Next Generation of e-Learning? [chapter]

Markellos Konstantinos, Markellou Penelope, Koutsonikos Giannis, Liopa-Tsakalidi Aglaia
2010 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
since the understanding of learning materials and knowledge semantics allows their advanced representation, manipulation, sharing, exchange and reuse and ultimately promote efficient online experiences for  ...  this context, the paper firstly explores some fundamental Semantic Web technologies and then discusses current and potential applications of these technologies in e-learning domain, namely, Semantic portals  ...  Especially, Web Mining is defined as the use of Data Mining techniques for discovering and extracting information from Web documents and services and can be categorised into three areas depending on which  ... 
doi:10.1007/978-3-642-11631-5_27 fatcat:343pshm25bg5digj6vegioiam4

Use of social media by healthcare professionals in Greece: an exploratory study

Ioannis Apostolakis, George Koulierakis, Alexander Berler, Anargyros Chryssanthou, Iraklis Varlamis
2012 International Journal of Electronic Healthcare  
The continuously and rapidly changing landscape in the fields of communications, Internet and social media make it imperative for professionals to better understand the role of Information and Communication  ...  Greek healthcare professionals' attitudes towards internet, social media and mobile technologies, explores their familiarity with social networks and associates their answers with their professional profile  ...  Mining questionnaire data for the hidden user profiles We further analysed the participants' profile, by applying data mining techniques.  ... 
doi:10.1504/ijeh.2012.049873 pmid:23079026 fatcat:kc4vg57jbjcivkyht25plecwve

Enhancing Mentoring Between Alumni and Students via Smart Alumni System

Hongmei Chi, Edward L. Jones, Lakshmi P. Grandham
2012 Procedia Computer Science  
Basic data mining algorithms are used to provide a ranked list of recommendations for stakeholder relationships for friends or groups.  ...  In the SAS framework, the primary purpose of data mining is to provide recommendations for establishing associations between stakeholders so that helps current students to get better mentoring; a secondary  ...  Knowledge discovered by application of data mining techniques to raw educational data assists decision makers to improve the decision-making procedures and to set more enhanced policies for educational  ... 
doi:10.1016/j.procs.2012.04.153 fatcat:r2axkjbjd5a23n2nprmu3rkkyq

Considerations for recruiting contributions to anonymised data sets

Eelco Herder, Ricardo Kawase
2012 International Journal of Technology Enhanced Learning  
We briefly report on the outcomes of the first rounds of analysis of the data set and discuss implications for educational data mining.  ...  We focus on measures and techniques for addressing privacy issues and strategies for motivating people to contribute.  ...  First of all, both fields involve the application of data mining and machine learning techniques on user data.  ... 
doi:10.1504/ijtel.2012.048315 fatcat:gmcf755z2fdntbr73x4g5o2lja

Domain-Driven, Actionable Knowledge Discovery

Longbing Cao, Chengqi Zhang, Qiang Yang, David Bell, Michail Vlachos, Bahar Taneri, Eamonn Keogh, Philip S. Yu, Ning Zhong, Mafruz Zaman Ashrafi, David Taniar, Eugene Dubossarsky (+1 others)
2007 IEEE Intelligent Systems  
Data mining increasingly faces complex challenges in the real-life world of business problems and needs. 1 The gap between business expectations and R&D results in this area involves key aspects of the  ...  Both researchers and practitioners are realizing the importance of domain knowledge to close this gap and develop actionable knowledge for real user needs.  ...  Acknowledgments I thank the Hong Kong Research Grants Council (grant 621606) for its support.  ... 
doi:10.1109/mis.2007.67 fatcat:obiwzv5q55ctfgre4smnq73gum

Web Mining – Concepts, Applications and Research Directions [chapter]

T. Srivastava, P. Desikan, V. Kumar
2005 Studies in Fuzziness and Soft Computing  
In this chapter we follow the data-centric view of web mining which is defined as follows, Web mining is the application of data mining techniques to extract knowledge from web data, i.e. web content,  ...  Web Usage Mining Web usage mining is the application of data mining techniques to discover interesting usage patterns from web usage data, in order to understand and better serve the needs of web-based  ... 
doi:10.1007/11362197_10 fatcat:jbo2epo2mnatparzlc2iyeajmy

Proposition of an alumni portal based on benchmarking and innovative process

Gislaine Cristina dos Santos Teixeira, Emerson Antonio Maccari
2014 Journal of Information Systems and Technology Management  
An association that seeks membership and participation of its alumni should invest in the development of an attractive portal.  ...  In this sense, this research aims to analyze the portal of alumni associations of well-ranked universities, using a benchmarking process and a creative technique called SCAMPER.  ...  For the authors, incorporating social network features and data mining to the alumni system can favor the orientation.  ... 
doi:10.4301/s1807-17752014000300005 fatcat:iw54xrxjqbhmxf76rwzkb3njxu

Machine Learning and Data Analytic Techniques in Digital Water Metering: A Review

Rahim, Nguyen, Stewart, Giurco, Blumenstein
2020 Water  
In addition, advanced data management solutions, effective user profiles, and the clustering of consumers based on their profiles require more attention to promote water-conscious behaviours.  ...  Recent advances in machine learning (ML) and data analytic (DA) technologies have provided the opportunity to more effectively utilise the vast amount of data generated by these meters.  ...  Pressure-based sensors were combined with water appliances to perform water end-use categorisation using data mining techniques [92, 93] .  ... 
doi:10.3390/w12010294 fatcat:gjj4xpbj45g57d3rmbeue66ix4
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