Automating exploratory data analysis via machine learning: An overview
Exploratory Data Analysis (EDA) is an important initial step for any knowledge discovery
process, in which data scientists interactively explore unfamiliar datasets by issuing a …
process, in which data scientists interactively explore unfamiliar datasets by issuing a …
A collaborative filtering approach for recommending OLAP sessions
While OLAP has a key role in supporting effective exploration of multidimensional cubes, the
huge number of aggregations and selections that can be operated on data may make the …
huge number of aggregations and selections that can be operated on data may make the …
Query recommendations for OLAP discovery driven analysis
Recommending database queries is an emerging and promising field of investigation. This
is of particular interest in the domain of OLAP systems where the user is left with the tedious …
is of particular interest in the domain of OLAP systems where the user is left with the tedious …
Querie: Collaborative database exploration
M Eirinaki, S Abraham, N Polyzotis… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Interactive database exploration is a key task in information mining. However, users who
lack SQL expertise or familiarity with the database schema face great difficulties in …
lack SQL expertise or familiarity with the database schema face great difficulties in …
Question answering framework for structured query languages
N Kuchmann-Beauger, F Brauer - US Patent 8,996,555, 2015 - Google Patents
(57) ABSTRACT A framework for a question and answering (Q&A) system defines a
mapping of recognized semantics of user questions, to a well structured query model that …
mapping of recognized semantics of user questions, to a well structured query model that …
Similarity measures for OLAP sessions
OLAP queries are not normally formulated in isolation, but in the form of sequences called
OLAP sessions. Recognizing that two OLAP sessions are similar would be useful for …
OLAP sessions. Recognizing that two OLAP sessions are similar would be useful for …
Cube query interestingness: Novelty, relevance, peculiarity and surprise
D Gkitsakis, S Kaloudis, E Mouselli, V Peralta… - Information Systems, 2024 - Elsevier
In this paper, we discuss methods to assess the interestingness of a query in an
environment of data cubes. We assume a hierarchical multidimensional database, storing …
environment of data cubes. We assume a hierarchical multidimensional database, storing …
SQL QueRIE recommendations
J Akbarnejad, G Chatzopoulou, M Eirinaki… - Proceedings of the …, 2010 - dl.acm.org
This demonstration presents QueRIE, a recommender system that supports interactive
database exploration. This system aims at assisting non-expert users of scientific databases …
database exploration. This system aims at assisting non-expert users of scientific databases …
[PDF][PDF] A survey of query recommendation techniques for data warehouse exploration.
Lots of data are gathered in datawarehouses that are navigated and explored for analytical
purposes. Only recently has the problem of recommending a datawarehouse query to a …
purposes. Only recently has the problem of recommending a datawarehouse query to a …
[PDF][PDF] The QueRIE system for Personalized Query Recommendations.
G Chatzopoulou, M Eirinaki, S Koshy, S Mittal… - IEEE Data Eng …, 2011 - researchgate.net
Interactive database exploration is a key task in information mining. However, users who
lack SQL expertise or familiarity with the database schema face great difficulties in …
lack SQL expertise or familiarity with the database schema face great difficulties in …