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Distributed Analytical Search

2015
The main purpose of this research is to develop an agent-based Distributed Analytical Search (DAS) tool to search and query distributed data sources regardless of data’s location, content or format from a natural language query.
Matthew Macarty, Subrata Das, Ria Ascano
openaire   +2 more sources

Does proactive boundary‐spanning search drive green innovation? Exploring the significance of green dynamic capabilities and analytics capabilities

Corporate Social Responsibility and Environmental Management
Successful innovation requires firms to search beyond their organizational confines for complementary knowledge resources ahead of their competitors.
Listowel Owusu Appiah
semanticscholar   +1 more source

Supporting Code Search with Context-Aware, Analytics-Driven, Effective Query Reformulation

2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2019
Software developers often experience difficulties in preparing appropriate queries for code search. Recent finding has suggested that developers fail to choose the right search keywords from an issue report for 88% of times.
M. M. Rahman
semanticscholar   +1 more source

Analytic coaching: In search of insight

2005
In analytic coaching, ‘understanding from the inside’ is central, in the form of a joint journey of discovery by coach and coachee. The aim is to increase the coachee’s insight into his or her own issues and problems. The coach does not pose as an ‘expert’, or even as someone who has acquired a large measure of self-knowledge or insight into human ...
Yvonne Burger, Erik de Haan
openaire   +2 more sources

Analytics on talent search examination data

International Journal of Business Intelligence and Data Mining, 2020
Learning analytics and educational data mining has greatly supported the process of assessing and improving the quality of education. While learning analytics has a longer development cycle, educational data mining suffers from the inadequacy of data captured through learning processes.
Vyankat Munde   +2 more
openaire   +2 more sources

Exploratory Search and Interactive Data Analytics

Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017
In recent years there has been a growing interest in developing new methods and systems that allow users to interactively explore large volumes of data, such as document collections, multimedia collections or biomedical datasets. There are various approaches to support users in this interactive environment ranging from the development of new algorithms
Evangelos E. Milios   +3 more
openaire   +2 more sources

Analytical methods for online searching

Online Review, 1983
Analytical methods are presented to facilitate the comparison of multiple sets during an online search. The basic concept is the utilization of discrete displays of unique citations from successive formulations. The discrete displays are formulated by using Boolean NOT to remove citations from previously designated good sets.
openaire   +2 more sources

Spatula: Efficient cross-camera video analytics on large camera networks

IFIP International Information Security Conference, 2020
Cameras are deployed at scale with the purpose of searching and tracking objects of interest (e.g., a suspected person) through the camera network on live videos. Such cross-camera analytics is data and compute intensive, whose costs grow with the number
Samvit Jain   +7 more
semanticscholar   +1 more source

Analytical search models for optimum seeking in simulations

OR Spektrum, 1980
Indepently developed analytical and simulation models of the same real world phenomenon can effectively complement each other. A simple analytical model can “learn” from a more realistic simulation model and can in turn provide “evolutionary” guidance in optimum seeking to the simulation model.
F. Hanssmann   +3 more
openaire   +2 more sources

Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning

IEEE Transactions on Learning Technologies, 2019
As the fields of learning analytics and learning design mature, the convergence and synergies between the two are becoming an important area for research.
Katerina Mangaroska, M. Giannakos
semanticscholar   +1 more source

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