Web and Big Data
4th International Joint Conference, APWeb-WAIM 2020, Tian**, China, September 18-20, 2020, Proceedings, Part I
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Article
A similar structural and semantic integrated method for RDF entity embedding
Resource Description Framework (RDF) graphs have become an important data source for many knowledge discovery algorithms and data mining tasks. However, most complex analyses that use knowledge discovery algor...
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Article
Efficient rule mining and compression for RDF style KB based on Horn rules
The volume of published linked open datasets in RDF format is growing exponentially in the last decades. With this continuous proliferation of this growth, demands for managing, accessing, and compressing the ...
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Article
Special Issue of Graph Data Management, Mining, and Applications (APWeb-WAIM 2020)
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Article
An experimental mining and analytics for discovering proportional process patterns from workflow enactment event logs
In this paper, we carry out an experimental analytics to show how much perfectly the conceptual mining framework is operable on re-discovering workflow process patterns and their enacted proportions from the w...
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Toward efficient and intelligent video analytics with visual privacy protection for large-scale surveillance
Nowadays, the explosion of CCTV cameras has resulted in an increasing demand for distributed solutions to efficiently process the vast volume of video data. Otherwise, the use of surveillance when people are b...
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Validation of the Osteomyelitis Induced by Methicillin-Resistant Staphylococcus aureus (MRSA) on Rat Model with Calvaria Defect
Osteomyelitis resulting from bacterial strains, such as methicillin-resistant Staphylococcus aureus (MRSA) that are resistant to multiple drugs, brings further clinical challenges. There is currently no model of ...
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Chapter and Conference Paper
Lambda-IVR: An Indexing Framework for Video Big Data Retrieval Using Distributed In-memory Computation in the Cloud
Feature indexing for video retrieval poses a significant hurdle for indexing due to three significant challenges. First, there are different types of features in varying nature, such as deep Convolutional Neur...
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Chapter and Conference Paper
Video Big Data Analytics in the Cloud: Research Issues and Challenges
On the rise of distributed computing technologies, video big data analytics in the cloud have attracted researchers and practitioners’ attention. The current technology and market trends demand an efficient fr...
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Chapter and Conference Paper
A Multimodal Memes Classification: A Survey and Open Research Issues
Memes are graphics and text overlapped so that together they present concepts that become dubious if one of them is absent. It is spread mostly on social media platforms, in the form of jokes, sarcasm, motivat...
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Open AccessArthroscopic microfracture with atelocollagen augmentation for osteochondral lesion of the talus: a multicenter randomized controlled trial
We aimed to evaluate whether arthroscopic microfracture with atelocollagen augmentation could improve the clinical outcomes and quality of regenerated cartilage in patients with osteochondral lesion of the tal...
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An effective graph summarization and compression technique for a large-scaled graph
Graphs are widely used in various applications, and their size is becoming larger over the passage of time. It is necessary to reduce their size to minimize main memory needs and to save the storage space on d...
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Book and Conference Proceedings
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Book and Conference Proceedings
Web and Big Data
4th International Joint Conference, APWeb-WAIM 2020, Tian**, China, September 18-20, 2020, Proceedings, Part II
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Article
EM-FGS: Graph sparsification via faster semi-metric edges pruning
Graph sparsification is a useful approach for mining, analyzing, and visualizing large graphs. It simplifies the structure of a graph by pruning some of the edges while preserving the nodes. One well-known edg...
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EnSWF: effective features extraction and selection in conjunction with ensemble learning methods for document sentiment classification
With the rise of web 2.0, a huge amount of unstructured data has been generated on regular basis in the form of comments, opinions, etc. This unstructured data contains useful information and can play a signif...
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Article
Open AccessMid-term follow-up results of calcaneal reconstruction for calcaneal malunion
We hypothesized that calcaneal reconstruction can relieve chronic pain due to calcaneal malunion. We report the mid-term follow-up results of calcaneal reconstruction for calcaneal malunion.
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Article
Open Access3D Bioprinted Human Skeletal Muscle Constructs for Muscle Function Restoration
A bioengineered skeletal muscle tissue as an alternative for autologous tissue flaps, which mimics the structural and functional characteristics of the native tissue, is needed for reconstructive surgery. Rapi...
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Chapter and Conference Paper
Parallel Compression of Weighted Graphs
Large graphs such as social network, web graph, biological network, are complex and facing the challenges of processing and visualization. Motivated by such issues, Taivonen et al. [1] proposed models and sequen...
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Chapter and Conference Paper
An Efficient Subgraph Compression-Based Technique for Reducing the I/O Cost of Join-Based Graph Mining Algorithms
Many join-based graph mining algorithms such as triangle listing and clique enumeration output a large size of intermediate or final data that sometimes dominates the mining cost. A few researches highlighted ...
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Article
Open AccessChanges in ankle joint motion after Supramalleolar osteotomy: a cadaveric model
Malalignment of the ankle joint has been found after trauma, by neurological disorders, genetic predisposition and other unidentified factors, and results in asymmetrical joint loading. For a medial open wedge...
