Witschel, Hans Friedrich

Profilbild
E-Mail-Adresse
Geburtsdatum
Projekt
Organisationseinheiten
Berufsbeschreibung
Nachname
Witschel
Vorname
Hans Friedrich
Name
Witschel, Hans Friedrich

Filter

20135
Filter zurücksetzen

Einstellungen

Enddatum: 2013 × Anfangsdatum: 2013 ×

Suchergebnisse

Gerade angezeigt 1 - 5 von 5
  • Vorschaubild
    Publikation
    Data-Mining im KMU - Das Beste aus Daten
    (Swiss Professional Media, 03.04.2013) Witschel, Hans Friedrich [in: Unternehmer Zeitung]
    Die Verwendung gängiger Data-Mining-Verfahren ist für KMUs wegen der meist nur spärlich vorhandenen Daten beschwerlich. Zudem ist den Beteiligten oft das Potenzial der Verfahren unklar und wie sie anzuwenden sind. Hier werden Möglichkeiten aufgezeigt, wie man auch aus wenigen Daten relevante Informationen herausholen kann.
    01B - Beitrag in Magazin oder Zeitung
  • Vorschaubild nicht verfügbar
    Publikation
    An approach for coping with risks in contract management
    (2013) Lutz, Jonas; Thönssen, Barbara; Witschel, Hans Friedrich [in: Knowledge Engineering and Knowledge Management, IC3K 2012]
    04 - Beitrag Sammelband oder Konferenzschrift
  • Vorschaubild
    Publikation
    Breaking free from your information prison - A recommender based on semantically enriched context descriptions
    (2013) Lutz, Jonas; Thönssen, Barbara; Witschel, Hans Friedrich [in: Proceedings of the First International Conference on Enterprise Systems, 2013]
    Information repositories, implemented as Enterprise Portals (EP) on the intranet, are increasingly popular in companies of all sizes. Enterprise Portals allow for structuring information in a way that resembles the organization of paper copies, i.e. simulating folders and registries and furthermore, provide simple routines for publishing and collaborating. Hence, in general, such kind of information management is not much different from paper management: electronic documents must be uploaded into the Enterprise Portal manually, filed into folders (which have to be created manually, too), tagged and related to other information objects if need be. With this approach information structuring remains subject to the individual user leading to the well-known problems of multiple filing, overlooking relevant information and incomprehensible Folder structure. The SEEK!sem project aims at improving such kind of information system by automatically identifying and recommending related information resources to be added to a folder. The recommendations are based on rules, exploiting content and context similarity of information resources. Rules can be created upfront, based on explicitly defined Relations between information objects. They can also be machine learned, i.e. the recommender exploits the existing linkage between documents, folders and other objects to learn “relatedness rules”. In either case, potential new connections are inferred by applying the rules in a reasoning step. Recommended new connections are ranked by the sum of the scores of all applied rules – the rule scores, again, can either be provided by experts or machinelearned. The applied rules can serve as an explanation of a recommendation, i.e. they can assist users in understanding why a particular connection is suggested.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Success Factors of Enterprise 2.0
    (2013) Mühleisen, Benjamin; Schneider, Claudio; Witschel, Hans Friedrich; Gutknecht, Christian [in: Proceedings of I-KNOW 2013]
    This paper presents the results of three interlinked case studies in companies who have recently introduced Wiki software. The case studies were all conducted with the same methodology, starting with an interview with the responsible person, design of a survey based on the interview findings and then application and interpretation of the survey. The goal of the studies was to identify success factors and/or barriers for Enterprise 2.0 adoption. The results show some clear common trends among the studied companies, which lead to a set of general recommendations for successful introduction of Enterprise 2.0.
    04B - Beitrag Konferenzschrift
  • Vorschaubild
    Publikation
    Building Expert Recommenders from Email-Based Personal Social Networks
    (Springer, 2013) Rivera-Pelayo, Veronica; Braun, Simone; Riss, Uwe V.; Witschel, Hans Friedrich; Hu, Bo
    In modern organisations there is the necessity to collaborate with people and establish interpersonal relationships. Contacting the right person is crucial for the success of the performed daily tasks. Personal email corpora contain rich information about all the people the user knows and their activities. Thus, an analysis of a person's emails allows automatically constructing a realistic image of the surroundings of that person. This chapter aims to develop ExpertSN, a personalised Expert Recommender tool based on email Data Mining and Social Network Analysis.
    03 - Sammelband