ACRL announces the publication of Text and Data Mining Literacy for Librarians, edited by Whitney Kramer, Iliana Burgos, and ...

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Abstract: This paper studies the problem of data-adaptive representations for big, distributed data. It is assumed that a number of geographically-distributed, interconnected sites have massive local ...

General validation interface, which allows complete validation work by one method call. Centralize some validation logic, avoid duplicate & inconsistent, decrease maintenance cost. Avoid potential ...

Datasets generally require a data dictionary that will incorporate information related to the dataset's variables and their descriptions, including the description of any variable options. This ...

Abstract: Symmetric Positive Definite (SPD) data are increasingly prevalent in dictionary learning recently. SPD data are the typical non-Euclidean data and cannot constitute a Euclidean space.

Beverly is a writer, editor, and paralegal specializing in personal finance and tax law. She covers personal financial and legal topics, as well as tax breaks, tax preparation software, and tax law ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...