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A workflow net similarity measure based on transition adjacency relations
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Multiple Source Detection without Knowing the Underlying Propagation Model
TLDR
This paper proposes a multiple source detection method called Label Propagation based Source Identification (LPSI), which lets infection status iteratively propagate in the network as labels, and finally uses local peaks of the label propagation result as source nodes.
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Community Detection in Social Networks: An In-depth Benchmarking Study with a Procedure-Oriented Framework
TLDR
An in-depth benchmarking study of community detection in social networks and proposes a procedure-oriented framework for benchmarking that can analyze and diagnose the inherent defect of existing approaches deeply, and further make effective improvements correspondingly.
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Approximate Holistic Aggregation in Wireless Sensor Networks
TLDR
In this paper, four holistic aggregation operations are investigated and the mathematical methods to construct their estimators and determine the optional sample size are proposed and the correctness of these methods is proved.
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An Advanced MapReduce: Cloud MapReduce, Enhancements and Applications
TLDR
The results show that CMR is more efficient and runs faster than other implementations of the MR framework and can be further enhanced to support stream data processing in addition to batch data by parallelizing the Map and Reduce phases through a pipelining model.
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ATBaM: An Arnold Transform Based Method on Watermarking Relational Data
TLDR
ATBaM substantially improves watermark security by using image scrambling technology which could confuse the well-regulated watermarking information and diffuse errors.
View on IEEE
Discovering the Most Potential Stars in Social Networks with Infra-skyline Queries
TLDR
This paper proposes some interesting new concepts such as Infra-Skyline and Promotion Boundary, and exploits a novel promotion boundary based approach, i.e., the InfraSky algorithm, to show the effectiveness and efficiency of this algorithm.
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A Kind of Content-Based Music Information Retrieval Method in a Peer-to-Peer Environment A Kind of Content-Based Music Information Retrieval Method in a Peer-to-Peer Environment
TLDR
An algorithm to improve the speed of CBP2PMIR, a simple but effective method to filter out the replica in the final results, and the architecture of QUIND, a content-based peer-topeer music information retrieval system, which can implement CBMIR are presented.
A Personalized Interest-Forgetting Markov Model for Recommendations
TLDR
A personalized framework to integrate interest-forgetting property with Markov model is brought forward and showed that its methods could significantly improve the accuracy of item recommendation, which verified the importance of considering interest- forgetting in recommendations.
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TinyGNN: Learning Efficient Graph Neural Networks
TLDR
This paper tries to learn a small GNN (called TinyGNN), which can achieve high performance and infer the node representation in a short time, and leverages peer node information to model the local structure explicitly and adopt a neighbor distillation strategy to learn local structure knowledge from a deeper GNN implicitly.
View on ACM
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