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 …
Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions
P Grover, AK Kar, YK Dwivedi - Annals of Operations Research, 2022 - Springer
In this digital era, data is new oil and artificial intelligence (AI) is new electricity, which is
needed in different elements of operations management (OM) such as manufacturing …
needed in different elements of operations management (OM) such as manufacturing …
From Star Schemas to Big Data: 20 Years of Data Warehouse Research
M Golfarelli, S Rizzi - A comprehensive guide through the Italian database …, 2017 - Springer
Data Warehouses are the core of the modern systems for decision making. They store
integrated information extracted from various and heterogeneous data sources, making it …
integrated information extracted from various and heterogeneous data sources, making it …
A novel recommendation method based on social network using matrix factorization technique
C Xu - Information processing & management, 2018 - Elsevier
The rapid development of information technology and the fast growth of Internet have
facilitated an explosion of information which has accentuated the information overload …
facilitated an explosion of information which has accentuated the information overload …
Utilizing customer satisfaction in ranking prediction for personalized cloud service selection
With the rapid development of cloud computing, cloud service has become an indispensable
component of modern information systems where quality of service (QoS) has a direct …
component of modern information systems where quality of service (QoS) has a direct …
Next-step suggestions for modern interactive data analysis platforms
Modern Interactive Data Analysis (IDA) platforms, such as Kibana, Splunk, and Tableau, are
gradually replacing traditional OLAP/SQL tools, as they allow for easy-to-use data …
gradually replacing traditional OLAP/SQL tools, as they allow for easy-to-use data …
Advances in exploratory data analysis, visualisation and quality for data centric AI systems
It is widely accepted that data preparation is one of the most time-consuming steps of the
machine learning (ML) lifecycle. It is also one of the most important steps, as the quality of …
machine learning (ML) lifecycle. It is also one of the most important steps, as the quality of …
Collaborative filtering recommendation algorithm integrating time windows and rating predictions
P Zhang, Z Zhang, T Tian, Y Wang - Applied Intelligence, 2019 - Springer
This paper describes a new collaborative filtering recommendation algorithm based on
probability matrix factorization. The proposed algorithm decomposes the rating matrix into …
probability matrix factorization. The proposed algorithm decomposes the rating matrix into …
Beyond roll-up's and drill-down's: An intentional analytics model to reinvent OLAP
This paper structures a novel vision for OLAPby fundamentally redefining several of the
pillars on which OLAP has been based for the last 20 years. We redefine OLAP queries, in …
pillars on which OLAP has been based for the last 20 years. We redefine OLAP queries, in …
Leveraging analysis history for improved in situ visualization recommendation
Existing visualization recommendation systems commonly rely on a single snapshot of a
dataset to suggest visualizations to users. However, exploratory data analysis involves a …
dataset to suggest visualizations to users. However, exploratory data analysis involves a …