Nikos Bikakis
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View article: Adaptive Indexing for Approximate Query Processing in Exploratory Data Analysis
Adaptive Indexing for Approximate Query Processing in Exploratory Data Analysis Open
Minimizing data-to-analysis time while enabling real-time interaction and efficient analytical computations on large datasets are fundamental objectives of contemporary exploratory systems. Although some of the recent adaptive indexing and…
View article: Visual Analytics Challenges and Trends in the Age of AI: The BigVis Community Perspective
Visual Analytics Challenges and Trends in the Age of AI: The BigVis Community Perspective Open
This report provides insights into the challenges, emerging topics, and opportunities related to human-data interaction and visual analytics in the AI era. The BigVis 2024 organizing committee conducted a survey among experts in the field.…
View article: Visualizing, Exploring and Analyzing Big Data: A 6-Year Story
Visualizing, Exploring and Analyzing Big Data: A 6-Year Story Open
Information Visualization has been one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of volumi…
View article: Partial Adaptive Indexing for Approximate Query Answering
Partial Adaptive Indexing for Approximate Query Answering Open
In data exploration, users need to analyze large data files quickly, aiming to minimize data-to-analysis time. While recent adaptive indexing approaches address this need, they are cases where demonstrate poor performance. Particularly, du…
View article: Exploration and visualization in the web of big linked data: A survey of the state of the art
Exploration and visualization in the web of big linked data: A survey of the state of the art Open
Data exploration and visualization systems are of great importance in the Big Data era. Exploring and visualizing very large datasets has become a major research challenge, of which scalability is a vital requirement. In this survey, we de…
View article: Big data visualization and analytics: Future research challenges and emerging applications
Big data visualization and analytics: Future research challenges and emerging applications Open
© 2020 Copyright for this paper by its author(s). In the context of data visualization and analytics, this report outlines some of the challenges and emerging applications that arise in the Big Data era. In particularly, fourteen distingui…
View article: Special Issue on Machine Learning Approaches in Big Data Visualization
Special Issue on Machine Learning Approaches in Big Data Visualization Open
The articles in this special section focus on analytic rendering and hardware-accelerated simulation for scientific applications. Data visualization is now one of the cornerstones of data science, turning the abundance of big data being pr…
View article: Attendance Maximization for Successful Social Event Planning
Attendance Maximization for Successful Social Event Planning Open
Social event planning has received a great deal of attention in recent years where various entities, such as event planners and marketing companies, organizations, venues, or users in Event-based Social Networks, organize numerous social e…
View article: Social Event Scheduling
Social Event Scheduling Open
A major challenge for social event organizers (e.g., event planning and marketing companies, venues) is attracting the maximum number of participants, since it has great impact on the success of the event, and, consequently, the expected g…
View article: Big Data Visualization Tools
Big Data Visualization Tools Open
Data visualization and analytics are nowadays one of the corner-stones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availabili…
View article: A hierarchical aggregation framework for efficient multilevel visual exploration and analysis
A hierarchical aggregation framework for efficient multilevel visual exploration and analysis Open
Data exploration and visualization systems are of great importance in the Big Data era, in which the volume and heterogeneity of available information make it difficult for humans to manually explore and analyse data. Most traditional syst…
View article: The XML and Semantic Web Worlds: Technologies, Interoperability and Integration. A Survey of the State of the Art
The XML and Semantic Web Worlds: Technologies, Interoperability and Integration. A Survey of the State of the Art Open
In the context of the emergent Web of Data, a large number of organizations, institutes and companies (e.g., DBpedia, Geonames, PubMed ACM, IEEE, NASA, BBC) adopt the Linked Data practices and publish their data utilizing Semantic Web (SW)…
View article: graphVizdb: A scalable platform for interactive large graph visualization
graphVizdb: A scalable platform for interactive large graph visualization Open
We present a novel platform for the interactive visualization of very large graphs. The platform enables the user to interact with the visualized graph in a way that is very similar to the exploration of maps at multiple levels. Our approa…
View article: Exploration and Visualization in the Web of Big Linked Data: A Survey of the State of the Art
Exploration and Visualization in the Web of Big Linked Data: A Survey of the State of the Art Open
Data exploration and visualization systems are of great importance in the Big Data era. Exploring and visualizing very large datasets has become a major research challenge, of which scalability is a vital requirement. In this survey, we de…
View article: A Hierarchical Aggregation Framework for Efficient Multilevel Visual\n Exploration and Analysis
A Hierarchical Aggregation Framework for Efficient Multilevel Visual\n Exploration and Analysis Open
Data exploration and visualization systems are of great importance in the Big\nData era, in which the volume and heterogeneity of available information make\nit difficult for humans to manually explore and analyse data. Most traditional\ns…
View article: A Hierarchical Framework for Efficient Multilevel Visual Exploration and Analysis.
A Hierarchical Framework for Efficient Multilevel Visual Exploration and Analysis. Open
Data exploration and visualization systems are of great importance in the Big Data era, in which the volume and heterogeneity of available information make it difficult for humans to manually explore and analyse data. Most traditional syst…
View article: Finding Desirable Objects under Group Categorical Preferences
Finding Desirable Objects under Group Categorical Preferences Open
Considering a group of users, each specifying individual preferences over categorical attributes, the problem of determining a set of objects that are objectively preferable by all users is challenging on two levels. First, we need to dete…
View article: Towards Scalable Visual Exploration of Very Large RDF Graphs
Towards Scalable Visual Exploration of Very Large RDF Graphs Open
In this paper, we outline our work on developing a disk-based infrastructure for efficient visualization and graph exploration operations over very large graphs. The proposed platform, called graphVizdb, is based on a novel technique for i…
View article: Towards Scalable Visual Exploration of Very Large RDF Graphs
Towards Scalable Visual Exploration of Very Large RDF Graphs Open
In this paper, we outline our work on developing a disk-based infrastructure for efficient visualization and graph exploration operations over very large graphs. The proposed platform, called graphVizdb, is based on a novel technique for i…