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View article: Joint top-k subscription query processing over microblog threads
Joint top-k subscription query processing over microblog threads Open
With an increasing amount of social media messages, users on the social platforms start to seek ideas and opinions by themselves. Publisher subscribers are utilized by these who want to actively read and consume web data. Web platforms giv…
View article: CUBE File: A file structure for hierarchically clustered OLAP cubes
CUBE File: A file structure for hierarchically clustered OLAP cubes Open
Hierarchical clustering has been proved an effective means for physically organizing large fact tables since it reduces significantly the I/O cost during ad hoc OLAP query evaluation. In this paper, we propose a novel multidimensional file…
View article: A Multi-Modal Deep Learning Based Approach for House Price Prediction
A Multi-Modal Deep Learning Based Approach for House Price Prediction Open
Accurate prediction of house price, a vital aspect of the residential real estate sector, is of substantial interest for a wide range of stakeholders. However, predicting house prices is a complex task due to the significant variability in…
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 Novel DNN Training Framework via Data Sampling and Multi-Task Optimization
A Novel DNN Training Framework via Data Sampling and Multi-Task Optimization Open
Conventional DNN training paradigms typically rely on one training set and one validation set, obtained by partitioning an annotated dataset available for the purpose of training, namely gross training set, in a certain way. The training s…
View article: Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques
Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques Open
The rapid growth of online service platforms has greatly influenced the way users conduct daily activities. In response to the requirements of frequent online activities, recommendation has become one of the best ways for the organizations…
View article: A Metadata-Assisted Cascading Ensemble Classification Framework for Automatic Annotation of Open IoT Data
A Metadata-Assisted Cascading Ensemble Classification Framework for Automatic Annotation of Open IoT Data Open
Public Internet of Things (IoT) platforms, such as Thingspeak, significantly increased the availability of open IoT data and enabled faster and cheaper development of novel IoT applications by reducing or even eliminating the need for depl…
View article: Integrity 2022: Integrity in Social Networks and Media
Integrity 2022: Integrity in Social Networks and Media Open
This is the proposal for the third edition of the Workshop on Integrity in Social Networks and Media, Integrity 2022, following the success of the first two Workshops held in conjunction with the 13th & 14th ACM Conference on Web Search an…
View article: Information Resilience: the nexus of responsible and agile approaches to information use
Information Resilience: the nexus of responsible and agile approaches to information use Open
The appetite for effective use of information assets has been steadily rising in both public and private sector organisations. However, whether the information is used for social good or commercial gain, there is a growing recognition of t…
View article: Guest Editorial: Advanced Complex Data Analytics for Smart City Industrial Environment
Guest Editorial: Advanced Complex Data Analytics for Smart City Industrial Environment Open
The papers in this special section focus on advanced complex data analytics for smart city industrial environments. With the continuous increase in size of populations living in cities, those residents face increasing environmental pressur…
View article: ExpFinder: An Ensemble Expert Finding Model Integrating $N$-gram Vector Space Model and $μ$CO-HITS
ExpFinder: An Ensemble Expert Finding Model Integrating $N$-gram Vector Space Model and $μ$CO-HITS Open
Finding an expert plays a crucial role in driving successful collaborations and speeding up high-quality research development and innovations. However, the rapid growth of scientific publications and digital expertise data makes identifyin…
View article: Inferring Location Types With Geo-Social-Temporal Pattern Mining
Inferring Location Types With Geo-Social-Temporal Pattern Mining Open
With a rapid growth in the global population, the modern world is undergoing a rapid expansion of residential areas, especially in urban centres. This continuously demands for increased general services and basic amenities, which are requi…
View article: Location-Centered House Price Prediction: A Multi-Task Learning Approach
Location-Centered House Price Prediction: A Multi-Task Learning Approach Open
Accurate house prediction is of great significance to various real estate stakeholders such as house owners, buyers, investors, and agents. We propose a location-centered prediction framework that differs from existing work in terms of dat…
View article: Understanding Link Changes in LOD via the Evolution of Life Science Datasets.
Understanding Link Changes in LOD via the Evolution of Life Science Datasets. Open
RDF data has been extensively deployed for the interlinking of health-related data in a structured way. The definition of link statements between distinct resources plays a key role to interconnect several life science repositories. Howeve…
View article: Special Section on the International Conference on Data Engineering 2016
Special Section on the International Conference on Data Engineering 2016 Open
The papers in this special section were presented at the 32nd International Conference on Data Engineering that was held in Helsinki, Finland, May 16- May 20, 2016.
View article: The flexible socio spatial group queries
The flexible socio spatial group queries Open
A socio spatial group query finds a group of users who possess strong social connections with each other and have the minimum aggregate spatial distance to a meeting point. Existing studies limit to either finding the best group of a fixed…
View article: A Trajectory Calculus for Qualitative Spatial Reasoning Using Answer Set Programming
A Trajectory Calculus for Qualitative Spatial Reasoning Using Answer Set Programming Open
Spatial information is often expressed using qualitative terms such as natural language expressions instead of coordinates; reasoning over such terms has several practical applications, such as bus routes planning. Representing and reasoni…
View article: A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths
A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths Open
The classical disjoint shortest path problem has recently recalled interests from researchers in the network planning and optimization community. However, the requirement of the shortest paths being completely vertex or edge disjoint might…
View article: ConcaveCubes: Supporting Cluster‐based Geographical Visualization in Large Data Scale
ConcaveCubes: Supporting Cluster‐based Geographical Visualization in Large Data Scale Open
In this paper we study the problem of supporting effective and scalable visualization for the rapidly increasing volumes of urban data. From an extensive literature study, we find that the existing solutions suffer from at least one of the…
View article: A Trajectory Calculus for Qualitative Spatial Reasoning Using Answer Set Programming
A Trajectory Calculus for Qualitative Spatial Reasoning Using Answer Set Programming Open
Spatial information is often expressed using qualitative terms such as natural language expressions instead of coordinates; reasoning over such terms has several practical applications, such as bus routes planning. Representing and reasoni…
View article: Capturing the Spatiotemporal Evolution in Road Traffic Networks
Capturing the Spatiotemporal Evolution in Road Traffic Networks Open
The urban road networks undergo frequent traffic congestions during the peak hours and around the city centre. Capturing the spatiotemporal evolution of the congestion scenario in real-time in an urban-scale can aid in developing smart tra…