Efficient Diversification for Recommending Aggregate Data Visualizations

MA Sharaf, R Mafrur, G Zuccon - IEEE Access, 2023 - ieeexplore.ieee.org
Visual data exploration is ubiquitous in nearly every industry and organization to support
discovering data-driven actionable insights. However, unlocking those insights requires …

Dive: Diversifying view recommendation for visual data exploration

R Mafrur, MA Sharaf, HA Khan - Proceedings of the 27th ACM …, 2018 - dl.acm.org
To support effective data exploration, there has been a growing interest in developing
solutions that can automatically recommend data visualizations that reveal interesting and …

Creating NoSQL biological databases with ontologies for query relaxation

NK Gundla, Z Chen - Procedia Computer Science, 2016 - Elsevier
The complexity of building biological databases is well-known and ontologies play an
extremely important role in biological databases. However, much of the emphasis on the …

PoBery: Possibly-complete big data queries with probabilistic data placement and scanning

J Song, Q He, F Chen, Y Yuan, G Yu - ACM/IMS Transactions on Data …, 2021 - dl.acm.org
In big data query processing, there is a trade-off between query accuracy and query
efficiency, for example, sampling query approaches trade-off query completeness for …

Query similarity for approximate query answering

V Kantere - International Conference on Database and Expert …, 2016 - Springer
Query rewriting in heterogeneous environments assumes mappings that are complete. In
reality and especially in the Big Data era it is rarely the case that such complete sets of …

Efficient schemes for similarity-aware refinement of aggregation queries

AM Albarrak, MA Sharaf - World Wide Web, 2017 - Springer
Interactive data exploration platforms in Web, business and scientific domains are becoming
increasingly popular. Typically, users without prior knowledge of data interact with these …

A framework for user-driven mapping discovery in rich spaces of heterogeneous data

F Mandreoli - On the Move to Meaningful Internet Systems. OTM …, 2017 - Springer
Data analysis in rich spaces of heterogeneous data sources is an increasingly common
activity. Examples include exploratory data analysis and personal information management …

Probery: A probability-based incomplete query optimization for big data

J Song, Y Zhang, Y Bao, G Yu - arXiv preprint arXiv:1901.00113, 2019 - arxiv.org
Nowadays, query optimization has been highly concerned in big data management,
especially in NoSQL databases. Approximate queries boost query performance by loss of …

[PDF][PDF] Similarity-aware query refinement for data exploration

AM Albarrak - 2018 - core.ac.uk
Database users are easily overwhelmed by the sheer size of data found in large-scale
scientific and financial databases. Exploring these databases to make sense of the explored …

[PDF][PDF] Εξερεύνηση Ομοιότητας Ερωτημάτων μέσω Τεχνικών Μηχανικής Μάθησης

Γ Σιαχάμης - 2020 - dspace.lib.ntua.gr
Περίληψη Η παρούσα διπλωματική εργασία ανήκει στον τομέα της Ολοκλήρωσης Δεδομένων
(Data Integration). Συγκεκριμένα μελετά την ομοιότητα ερωτημάτων για την προσεγγιστική …