Efficient Diversification for Recommending Aggregate Data Visualizations
Visual data exploration is ubiquitous in nearly every industry and organization to support
discovering data-driven actionable insights. However, unlocking those insights requires …
discovering data-driven actionable insights. However, unlocking those insights requires …
Dive: Diversifying view recommendation for visual data exploration
To support effective data exploration, there has been a growing interest in developing
solutions that can automatically recommend data visualizations that reveal interesting and …
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
(Data Integration). Συγκεκριμένα μελετά την ομοιότητα ερωτημάτων για την προσεγγιστική …