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It is common to analyze large networks in genomics to infer a hidden knowledge.
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To its fans, it is a laudable effort by a publicly minded company to unlock a treasure trove of hidden knowledge.
KDD is a process to discover hidden knowledge from massive amounts of data, as Figure 1 illustrates.
This paper presents a sequential pattern mining algorithm that allows product and quality engineers to extract hidden knowledge from a large automotive warranty database.
Instead, we assume the familiarity score of each worker landmark pair is a linear combination of two groups of scores, i.e., (1) how a worker is familiar with each hidden knowledge category, and (2) how a landmark is related to each hidden knowledge category.
"This kind of secret, hidden knowledge gives them a power and an empowerment," he said.
An emerging research trend in PFS is development of clustering algorithms which can exploit and investigate hidden knowledge from a mass of datasets.
Computational intelligence (CI) involves using a computer algorithm to capture hidden knowledge from data and to use them for training "intelligent machine" to make complex decisions without human intervention.
Therefore, Caipirini gives the research community a new way to unlock hidden knowledge from gene sets derived via high-throughput experiments.
To our knowledge Caipirini is the first service enabling literature search directly based on biological relevance to gene sets; thus, Caipirini gives the research community a new way to unlock hidden knowledge from gene sets derived via high-throughput experiments.
To solve this problem, a systemized annotation vocabulary describing biological knowledge and tools to uncover hidden knowledge automatically using such a vocabulary are required.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com