TY - CONF AU - Jäschke, Robert AU - Rudolph, Sebastian A2 - Cellier, Peggy A2 - Distel, Felix A2 - Ganter, Bernhard T1 - Attribute Exploration on the Web T2 - Contributions to the 11th International Conference on Formal Concept Analysis PB - CY - PY - 2013/05 M2 - VL - IS - SP - 19 EP - 34 UR - http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133 M3 - KW - 2013 KW - acquisition KW - analysis KW - attribute KW - computing KW - concept KW - crowdsourcing KW - data KW - exploration KW - fca KW - formal KW - human KW - information KW - ir KW - iteg KW - knowledge KW - l3s KW - linked KW - lod KW - open KW - retrieval KW - search KW - sparql KW - web L1 - SN - N1 - N1 - AB - We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted. ER - TY - CONF AU - Scholz, Christoph AU - Atzmueller, Martin AU - Stumme, Gerd A2 - T1 - On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties T2 - Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust PB - IEEE Computer Society CY - Washington, DC, USA PY - 2012/ M2 - VL - IS - SP - 312 EP - 321 UR - http://dx.doi.org/10.1109/SocialCom-PASSAT.2012.49 M3 - 10.1109/SocialCom-PASSAT.2012.49 KW - 2012 KW - contacts KW - factors KW - human KW - influence KW - itegpub KW - l3s KW - myown KW - predictability KW - venus L1 - SN - 978-0-7695-4848-7 N1 - On the Predictability of Human Contacts N1 - AB - While the analysis of online social networks is a prominent research topic, offline real-world networks are still not covered extensively. However, their analysis can provide important insights into human behavior. In this paper, we analyze influence factors for link prediction in human contact networks. Specifically, we consider the prediction of new links, and extend it to the analysis of recurring links. Furthermore, we consider the impact of stronger ties for the prediction. The results and insights of the analysis are a first step onto predictability applications for human contact networks. ER - TY - CONF AU - Scholz, Christoph AU - Atzmueller, Martin AU - Stumme, Gerd A2 - T1 - On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties T2 - Proc. Fourth ASE/IEEE International Conference on Social Computing (SocialCom) PB - IEEE Computer Society CY - Boston, MA, USA PY - 2012/ M2 - VL - IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/atzmueller/paper/scholz-on-f2f-predictability-socialcom-2012.pdf M3 - KW - 2012 KW - contact KW - data KW - human KW - itegpub KW - l3s KW - mining KW - myown KW - patterns KW - prediction KW - rfid KW - social KW - socialnetworks KW - venus L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Song, Chaoming AU - Qu, Zehui AU - Blumm, Nicholas AU - Barabási, Albert-László T1 - Limits of Predictability in Human Mobility JO - Science PY - 2010/ VL - 327 IS - 5968 SP - 1018 EP - 1021 UR - http://www.barabasilab.com/pubs/CCNR-ALB_Publications/201002-19_Science-Predictability/201002-19_Science-Predictability.pdf M3 - 10.1126/science.1177170 KW - control KW - everyaware KW - human KW - mobile KW - networking KW - prediction KW - privacy KW - social KW - venus L1 - SN - N1 - N1 - AB - A range of applications, from predicting the spread of human and electronic viruses to city planning and resource management in mobile communications, depend on our ability to foresee the whereabouts and mobility of individuals, raising a fundamental question: To what degree is human behavior predictable? Here we explore the limits of predictability in human dynamics by studying the mobility patterns of anonymized mobile phone users. By measuring the entropy of each individual's trajectory, we find a 93% potential predictability in user mobility across the whole user base. Despite the significant differences in the travel patterns, we find a remarkable lack of variability in predictability, which is largely independent of the distance users cover on a regular basis.

ER - TY - JOUR AU - Hereth, Joachim AU - Stumme, Gerd AU - Wille, Rudolf AU - Wille, Uta T1 - Conceptual Knowledge Discovery - a Human-Centered Approach JO - Journal of Applied Artificial Intelligence (AAI) PY - 2003/ VL - 17 IS - 3 SP - 281 EP - 301 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hereth2003conceptual.pdf M3 - KW - 2003 KW - analysis KW - concept KW - conceptual KW - discovery KW - fca KW - formal KW - human KW - kdd KW - knowledge KW - myown L1 - SN - N1 - Publications of Gerd Stumme N1 - AB - In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge

Processing. Conceptual Knowledge

Processing is based on the mathematical theory of Formal Concept

Analysis which has become a successful theory for data analysis during

the last two decades. CKDD aims to support a human-centered process

of discovering knowledge from data by visualizing and analyzing

the conceptual structure of the data. We dicuss how the

management system TOSCANA for conceptual information systems

supports CKDD, and illustrate it by two applications in database

marketing and flight movement analysis. Finally, we present a

new tool for conceptual deviation discovery, Chianti. ER -