Data Mining Practical Machine Learning Tools and Techniques

We will review some of the major results in random graphs and some of the more challenging open problems. We will cover algorithmic and structural questions. We will touch on newer models, including those related to the WWW.

Random graphs

In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.

Thinking fast and slow.

Social Network Analysis

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Flow The Psychology Of Optimal Experience

IT projects across organizational boundaries face unique challenges. This is particularly true for higher education, where experiences with largescale cooperative projects are very limited. One successful example is "sciebo -- the campuscloud", a private cloud solution with 500,000 potential users jointly operated by more than 20 universities in the German state North Rhine-Westphalia. Using the example of sciebo, this case study discusses the difficulties of inter-university IT projects, the solutions achieved and the experiences gained from the perspective of the project leaders. It particularly addresses the benefits of bringing in know-how from other disciplines, the technical implementation and the use of innovative instruments.

How to Build a Cloud Storage Service for Half a Million Users in Higher Education: Challenges Met and Solutions Found

Reactive power control in photovoltaic systems through (explainable) artificial intelligence

In den vergangenen Jahrzenten unterlag das Rollenverständnis des Chief Information Officers (CIO) in Unternehmen einem laufenden Wandel, der mit sich verändernden Anforderungen an diese Position einherging. Das Aufkommen von Social Media kann erneut dieses Rollenverständnis im Hinblick auf das strategische Informationsmanagement beeinflussen und ihn vor neue Herausforderungen stellen. In diesem Beitrag beschreiben wir den bisherigen Rollenwandel und diskutieren die Implikation auf die Kompetenzanforderungen des CIOs in Bezug auf die Einführung und den Betrieb von Social Media in Unternehmen.

Zum Einfluss von Social Media auf die Rollenentwicklung des Chief Information Officer.

For many years, researchers have been debating whether the Information Systems discipline is generating knowledge, which is actually transferred to practice. Still, empirical studies, which could confirm or reject assertions about missing practical relevance in the rigor vs. relevance debate are lacking. We followed the research call of MIS Quarterly’s editors of 2011 and address the issue by analyzing two academicpractitioner journals, MISQ Executive and Sloan Management Review, which are potential channels for knowledge transfer to practice. Following a scientometric approach we performed a comprehensive quantitative citation analysis on journal-level. By this, we identified core knowledge sources of academicpractitioner journals and found a respectable amount of scientific publications referenced in such outlets with a mixed audience. Our research extends the scarce scientometric studies about knowledge transfer and practical relevance in terms of a comprehensive citation database and the performed categorization.

Assessing the Knowledge Transfer of IS Research to Practice

In recent years, software for collaborative improvement of master data quality has been increasingly introduced into public administration. With the support of this collaborative software, master data is not only managed by one stakeholder such as an individual or department but rather crossinstitutionally and across departments by groups of several stakeholders, e.g. several municipal authorities. In this paper, based on the TechnologyOrganization-Environment Framework, both driving forces as well as obstacles were identified, which influenced the adoption of such collaborative software. The results show, that positive factors concerning the adoption are perceived barriers, presence and importance of data standards as well as the successful implementation into the existing environment, whereas a complex IT-infrastructure impedes an introduction.

/pdf/adoption-of-collaborative-technology-to-enhance-master-data-36vbo86nk4.pdf

Christian Meske

Papers

How to Build a Cloud Storage Service for Half a Million Users in Higher Education: Challenges Met and Solutions Found

Reactive power control in photovoltaic systems through (explainable) artificial intelligence

Zum Einfluss von Social Media auf die Rollenentwicklung des Chief Information Officer.

Assessing the Knowledge Transfer of IS Research to Practice

Adoption of Collaborative Technology to Enhance Master Data Quality Across Municipal Administrations - Identifying Drivers and Barriers