Abstract: Semantic networks connect concepts with semantic relations. It has binary and multiplex semantic networks. The associated fact prediction link prediction task mines the high-level network representation to infer implicitly connected facts. Previous associated fact…
Abstract: Data anomaly detection has many real-world applications. Outlier detection algorithms are abundant, but most have hidden assumptions and restrictions. This paper proposes a novel, yet effective outlier learning algorithm that decomposes the full attributes…
Abstract: Representative selection involves selecting few informative exemplars from large datasets. Data selection methods rarely handle non-linear data structures, sample concise and non-redundant subsets, reject outliers, and produce interpretable results. This paper introduces MOSAIC, a…
Abstract: Finance, medicine, and education generate time series at an unprecedented rate. Exploring heterogeneous, variable-length, and misaligned time series requires many dynamic time warping distances. The computational costs of elastic distances cause unacceptable response times….
Abstract: Cloud computing platforms risk data leakage, so security and privacy are major concerns. Data can leak while in storage, processing, or moving within a cloud or between cloud infrastructures, such as private to public…
Abstract: Vehicle platoon, a new driving paradigm that organizes a group of vehicles nose-to-tail, could reduce traffic and improve travel comfort. User vehicles evaluate head vehicles in such a platoon system. Selecting a reliable head…
Abstract: Spark, Tez, and Piccolo use memory caches heavily. Data analytics clusters must efficiently manage caches due to their large performance impact and small sizes. However, most data analytics systems use LRU and LFU cache…
Abstract: ABE allows fine-grained access control over encrypted data in many cloud computing applications. Two main drawbacks limit ABE development. Most user revocation mechanisms cannot simultaneously be efficient, immediate, and robust. ABE decryption requires costly…
Abstract: New Data Mining and Machine Learning services in Cloud Computing providers are giving users extremely comprehensive data analysis tools with all the benefits of this environment. Cloud Computing services for data mining publish descriptions…
Abstract: Commercial cloud storage providers use data deduplication to manage data growth. Many secure data deduplication schemes have been developed and used to protect users’ sensitive data in outsourced storage. Many scholars studied secure and…
Abstract: SDN’s control plane and data plane allow data center traffic measurement. Traffic measurement TCAM resources are limited in SDN-enabled switches. Thus, traffic matrix (TM) estimation is needed to create a hybrid network monitoring scheme…
Abstract: Cloud computing lets users remotely process their applications using scalable CPU, memory, disk, and IO devices. Energy costs are significant in cloud computing. This article presents an energy-efficient scheduling algorithm for real-time user applications….
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