Summary As an unsupervised analysis technique that uncovers relationships among items, association rules find many uses in activities, including market basket analysis, clickstream analysis, and recommendation engines. This is a descriptive, not predictive, method often used to discover interesting ...
Their key idea is that the proteins corresponding to absolutely larger components tend to form a quasi-clique for each eigenvector with a positive eigenvalue. To quantify a quasi-clique's tendency to form a cluster, Bu et al also used the density (in [12], they call it clustering coeffici...
Technological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics, metabolomics) and opened up a new era in multiview learning research with the potential to lead to new biomedical discoverie
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Genome-wide association studies (GWAS) test hundreds of thousands of genetic variants across many genomes to find those statistically associated with a specific trait or disease. This methodology has generated a myriad of robust associations for a range of traits and diseases, and the number of ass...
NNSs are typically performed around the starting (A) term for open discovery, and between the sum of A and C terms to discover B terms for closed discovery. Although NNSs in vector space can generate knowledge, it often produces noisy results, and several modifications have been proposed to ...
Ma and colleagues established a strategy to discover quality control markers by mining the metabolome of toad venom. They identified chromatographic components by LC–MS/MS, while metabolomics was used as well to ensure quality consistency [29]. Moreover, Sericea Burck is a South African medicinal...
(Suchanek et al.2011), conducted to answer the four open questions introduced previously, using a reliable, statistically sound methodology. First, we discover a statistical significant ranking of the methods according to their effectiveness across all real-world KGs of our testbed. Then, we study...
We define Intellectual Property Analytics (IPA) as the data science of analysing large amount of IP information, to discover relationships, trends and patterns for decision making. In this paper, we contribute to the ongoing discussion on the use of intellectual property analytics methods, i.e ...
Study of religion - Basic aims and methods: The growth of various disciplines in the 19th century, notably psychology and sociology, stimulated a more analytic approach to religions, while at the same time theology became more sophisticated and, in a sen