Sijo Arakkal Peious

dblp:273/9550 · DBLP profile ↗
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8ranked-venue papers
4as first author
6since 2021 · last 2025
0000-0002-7858-9463ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 8 · 4 first-author · 6 since 2021Applied, interdisciplinary, general and emerging computing · 4 · 3 first-author · 4 since 2021Artificial intelligence and machine learning · 3 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2025 On the Relationship Between Crude, Adjusted, Confounder and Latent Coefficients in Linear Regression
Sijo Arakkal Peious, Ahto Buldas, Dirk Draheim
iiWAS1
2023 On Observing Patterns of Correlations During Drill-Down
Sijo Arakkal Peious, Rahul Sharma 0011, Minakshi Kaushik, Mahtab Shahin, Dirk Draheim
iiWAS1
2022 Towards Unification of Statistical Reasoning, OLAP and Association Rule Mining: Semantics and Pragmatics
Rahul Sharma 0011, Minakshi Kaushik, Sijo Arakkal Peious, Mahtab Shahin, Amrendra Singh Yadav, Dirk Draheim
DASFAA (1)3
2022 Detecting Simpson's Paradox: A Machine Learning Perspective
Rahul Sharma 0011, Huseyn Garayev, Minakshi Kaushik, Sijo Arakkal Peious, Prayag Tiwari, Dirk Draheim
DEXA (1)4
2022 An Analysis of Human Perception of Partitions of Numerical Factor Domains
Minakshi Kaushik, Rahul Sharma 0011, Mahtab Shahin, Sijo Arakkal Peious, Dirk Draheim
iiWAS4
2021 Enabling Sensemaking and Trust in Communities: An Organizational Perspective
abstract
The large volume of information being produced in organizations today poses new challenges to the accuracy and effectiveness of any organizations’ decision-making processes. These challenges, namely sensemaking and trust, can critically impact the decision-making processes, even if the organizations are relying on business intelligence (BI) strategies. Given the critical impact an organizations’ BI can have on its sustainability and thus its success, in this work, we attempt to draw insights from the literature on collective intelligence and, based on these, present a novel artifact that aims to empower organizations’ BI by supporting the organizations’ employees in establishing trust and sense when working up with new ideas and solutions. The proposed artifact utilizes a novel reputation model, which calculates reputation based on an individual’s area of expertise and reputation score, in order to assist in establishing trust among system users, and thus helps improve decision-making processes.
Sijo Arakkal Peious, Shweta Suran, Vishwajeet Pattanaik, Dirk Draheim
iiWAS1
2020 Grand Reports: A Tool for Generalizing Association Rule Mining to Numeric Target Values
Sijo Arakkal Peious, Rahul Sharma 0011, Minakshi Kaushik, Syed Attique Shah, Sadok Ben Yahia
DaWaK1
2020 Expected vs. Unexpected: Selecting Right Measures of Interestingness
Rahul Sharma 0011, Minakshi Kaushik, Sijo Arakkal Peious, Sadok Ben Yahia, Dirk Draheim
DaWaK3