Data Mining with Big Data

Data Mining with Big Data KNOWLEDGE AND DATA ENGINEERING, VOL. 26, NO. 1, JANUARY 2014 Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven…

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Scalable Keyword Search on Large RDF Data

Scalable Keyword Search on Large RDF Data Keyword search is a useful tool for exploring large RDF datasets. Existing techniques either rely on constructing a distance matrix for pruning the search space or building summaries from the RDF graphs for query processing. Existing techniques have serious limitations in dealing with realistic, large RDF data with tens of millions of triples. Furthermore, the existing summarization techniques may lead to incorrect/incomplete results. To address these issues, an effective summarization algorithm is proposed to summarize the RDF data. Given a keyword query, the…

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Super Resolution Image Generation Using Wavelet Domain Interpolation With Edge Extraction via a Sparse Representation

Super Resolution Image Generation Using Wavelet Domain Interpolation With Edge Extraction via a Sparse Representation This letter addresses the problem of generating a super-resolution (SR) image from a single low-resolution (LR) input image in the wavelet domain. To achieve a sharper image, an intermediate stage for estimating the high-frequency (HF) subbands has been proposed. This stage includes an edge preservation procedure and mutual interpolation between the input LR image and the HF subband images, as performed via the discrete wavelet transform (DWT). Sparse mixing weights are calculated over blocks of…

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Performance assessment criteria and issues for wavelet-based image resolution enhancement technique: A short review

Performance assessment criteria and issues for wavelet-based image resolution enhancement technique: A short review Image spatial resolution enhancement using the wavelet transform is a quite classic topic in the field of image processing and there exist many algorithms, techniques and methods regarding wavelet and image resolution. Most of these approaches are based on the idea that the low resolution image is the approximation subband of a higher resolution image and try to estimate the unknown detail coefficients to rebuild the high resolution image. In this paper, we present a short…

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