17 citations · 22 across the 4 of their papers we have counts for
6 papers
On Predictive Explanation of Data Anomalies
Nikolaos Myrtakis, Ioannis Tsamardinos, Vassilis Christophides
Numerous algorithms have been proposed for detecting anomalies (outliers, novelties) in an unsupervised manner. Unfortunately, it is not trivial, in general, to understand why a gi…
Benchmarking Blocking Algorithms for Web Entities
Vasilis Efthymiou, Kostas Stefanidis, Vassilis Christophides
An increasing number of entities are described by interlinked data rather than documents on the Web. Entity Resolution (ER) aims to identify descriptions of the same real-world ent…
MinoanER: Schema-Agnostic, Non-Iterative, Massively Parallel Resolution of Web Entities
Vasilis Efthymiou, George Papadakis, Kostas Stefanidis +1
Entity Resolution (ER) aims to identify different descriptions in various Knowledge Bases (KBs) that refer to the same entity. ER is challenged by the Variety, Volume and Veracity…
End-to-End Entity Resolution for Big Data: A Survey
Vassilis Christophides, Vasilis Efthymiou, Themis Palpanas +2
One of the most important tasks for improving data quality and the reliability of data analytics results is Entity Resolution (ER). ER aims to identify different descriptions that…
Massively-Parallel Feature Selection for Big Data
Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis +2
We present the Parallel, Forward-Backward with Pruning (PFBP) algorithm for feature selection (FS) in Big Data settings (high dimensionality and/or sample size). To tackle the chal…
Querying Temporal Drifts at Multiple Granularities (Technical Report)
Sofia Kleisarchaki, Sihem Amer-Yahia, Ahlame Douzal-Chouakria +1
There exists a large body of work on online drift detection with the goal of dynamically finding and maintaining changes in data streams. In this paper, we adopt a query-based appr…