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We present a data collection framework that helps in collection, anonymization, fusion, processing and mining of behavioural data. We use the framework to study ...
Mar 16, 2016 · Our study demonstrates their use in a real workplace context to answer hypotheses on workplace behaviours and activities that drive work ...
We present a data collection framework that helps in collection, anonymization, fusion, processing and mining of behavioural data. We use the framework to study ...
Oct 19, 2019 · Bibliographic details on Mining Multi-source Data to Study Workplace Activity Patterns.
Mining Multi-source Data to Study Workplace Activity Patterns. S Patel, R ... Examining Workplace Productivity using Multimodal Data: Results from a Pilot Study.
Mining Multi-source Data to Study Workplace Activity Patterns. S Patel, R ... Examining Workplace Productivity using Multimodal Data: Results from a Pilot Study.
Jun 28, 2019 · In our work, we assume that multiple educational data sources form a rich dataset that can result in valuable patterns. Mining such data is ...
Missing: Study Workplace
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[PDF] Sequential Pattern Generalization for Mining Multi-source Data
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Sequential pattern mining is a topic of high interest as sequential data exists in many application domains such as e-learning where sequential data can ...
Missing: Workplace | Show results with:Workplace
David Clarance's 5 research works with 1 citations, including: Conference Poster: Mining Multi source Data to Study Workplace Activity Patterns.
This study proposes a flexible white box method to mine human activity chains from large-scale mobile phone location data
Missing: Multi- Workplace