Literature Search Strategies for Interdisciplinary Research

Literature Search Strategies for Interdisciplinary Research
Author :
Publisher : Rowman & Littlefield
Total Pages : 152
Release :
ISBN-10 : 9780810852419
ISBN-13 : 0810852411
Rating : 4/5 (411 Downloads)

Book Synopsis Literature Search Strategies for Interdisciplinary Research by : Linda G. Ackerson

Download or read book Literature Search Strategies for Interdisciplinary Research written by Linda G. Ackerson and published by Rowman & Littlefield. This book was released on 2007 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of published literature can be overwhelming for scientists and researchers moving from a broad disciplinary research area to a more specialized one, particularly in fields that use information from more than one discipline. Without a focused inquiry, the researcher may find too little information or may be overcome by too much. Striking the correct balance of information is the focus of Literature Search Strategies for Interdisciplinary Research. This useful reference tool studies diverse interdisciplinary areas revealing the general and individual qualities that dictate the strategies of successful searches. Beginning with a bare-bones search strategy for finding primary research in interdisciplinary areas, the book then goes on to provide hints for research in specific disciplines, as the unique traits of the individual fields compound the difficulties in interdisciplinary research. Individual chapters, written by experts in that particular area, address ten research fields in depth, disclosing the common qualities of interdisciplinary research. The study areas covered include Paleontology, Crystallography, Quaternary Research, Human Factors Engineering, Nanotechnology, Atmospheric Chemistry, Bioethics, Computational Biology, Engineering Entrepreneurship, and Machine Learning. For scientists and engineers new to their fields, as well as librarians whose responsibilities include collecting library materials for newly-emerging interdisciplinary research areas, Linda Ackerson's guide provides all that is needed to develop a successful search strategy.


Literature Search Strategies for Interdisciplinary Research Related Books

Readings in Machine Learning
Language: en
Pages: 868
Authors: Jude W. Shavlik
Categories: Computers
Type: BOOK - Published: 1990 - Publisher: Morgan Kaufmann

GET EBOOK

The ability to learn is a fundamental characteristic of intelligent behavior. Consequently, machine learning has been a focus of artificial intelligence since t
Understanding Machine Learning
Language: en
Pages: 415
Authors: Shai Shalev-Shwartz
Categories: Computers
Type: BOOK - Published: 2014-05-19 - Publisher: Cambridge University Press

GET EBOOK

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei
Deep Learning
Language: en
Pages: 801
Authors: Ian Goodfellow
Categories: Computers
Type: BOOK - Published: 2016-11-10 - Publisher: MIT Press

GET EBOOK

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res
Machine Learning
Language: en
Pages: 407
Authors: Stephen Marsland
Categories: Business & Economics
Type: BOOK - Published: 2011-03-23 - Publisher: CRC Press

GET EBOOK

Traditional books on machine learning can be divided into two groups- those aimed at advanced undergraduates or early postgraduates with reasonable mathematical
Data Mining
Language: en
Pages: 665
Authors: Ian H. Witten
Categories: Computers
Type: BOOK - Published: 2011-02-03 - Publisher: Elsevier

GET EBOOK

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advic