Dimitris Sacharidis - Giorgos Giannopoulos - Loukas Kavouras
September 25, 2024
Auditing bias of recourse in classifiers (part II)
Introduction Fairness is a fundamental principle reflecting our innate sense of justice and equity. The essence of fairness lies in the equitable, unbiased and just treatment of all individuals. In our previous post (part I), we provided an introduction to the bias of recourse problem. In this post (part II), we describe our framework for […]
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Paul Boniol - Themis Palpanas
July 16, 2024
Time Series Anomaly Detection
What it is, how it works, where we are, and where we are heading Anomaly detection is an important problem in data analytics with applications in many domains. In recent years, there has been an increasing interest in anomaly detection tasks applied to time series. In this post, we take a holistic view on anomaly […]
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Dimitris Sacharidis - Giorgos Giannopoulos - Loukas Kavouras
June 19, 2024
Auditing bias of recourse in classifiers (part I)
Introduction Fairness is a fundamental principle reflecting our innate sense of justice and equity. The essence of fairness lies in the equitable, unbiased and just treatment of all individuals. Nevertheless, translating this principle to specific rules, people, and systems can adhere to is highly context specific, with context meaning, social and cultural circumstances, as well […]
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Kyle Deeds and Ziniu Wu
September 13, 2023
The Case for Cardinality Bounds: Principled Conservatism in Query Optimization
Introduction In the last decade, the database community has identified cardinality estimation as the primary stumbling block for modern query optimizers. Cardinality estimates, which estimate the size of sub-plan queries, are the primary basis for choosing between query plans, so poor estimates may result in catastrophic query execution plans. Research on this topic has consistently […]
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Mohamed Sharaf
February 16, 2023
Utilizing the Synergy between Query Refinement and View Recommendation for Visual Data Exploration
In this blog, we discuss the potential benefits of augmenting automated view recommendation solutions with query refinement techniques towards achieving insightful data exploration. Particularly, effective data exploration has been fueled by many approaches that rely on either view recommendation or query refinement, as two separate and independent techniques for gaining valuable insights from data. In […]
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