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Library of Congress Subject Headings (LCSH)
Why should I bother?
The keywords that I typed are already giving me results. So, is it worth knowing LCSH?
Yes, definitely! Using LCSH can help you be more effective and efficient in your search. They can help you find relevant resources that you might miss with just keyword searching.
Some advantages of using LCSH are :
- identify specifically what an item is about;
- identify what type of material an item is;
- provide more "access points" or paths to relevant materials;
- make your research more effective and efficient.
LCSH identify what a book or DVD or other item is about using a "controlled vocabulary" system. This means highly structured and specific terms are assigned to an item to accurately describe it.
The library catalog and most databases include the option to search by "subject keyword". If you enter a term in this search that is not included in the assigned LCSH, you may not get results or your results list may have few relevant records. This does not mean that there are few or no works about your topic; it just means that your term is not found in the LCSH system.
There are a number of ways to identify assigned LCSH :
- from the library catalog of an item;
- from the Cataloging-in-Publication information on the verso (the back of the title page);
- from the record of an article in a database which users LCSH in their indexing;
- from the Library of Congress website;
- from the WorldCat database of library holdings around the world
3rd International Workshop on Intelligent Data Analysis and Management by These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.
Publication Date: 2013-08-13
7th International Conference on Practical Applications of Computational Biology and Bioinformatics by The growth in the Bioinformatics and Computational Biology fields over the last few years has been remarkable and the trend is to increase its pace. In fact, the need for computational techniques that can efficiently handle the huge amounts of data produced by the new experimental techniques in Biology is still increasing driven by new advances in Next Generation Sequencing, several types of the so called omics data and image acquisition, just to name a few. The analysis of the datasets that produces and its integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Within this scenario of increasing data availability, Systems Biology has also been emerging as an alternative to the reductionist view that dominated biological research in the last decades. Indeed, Biology is more and more a science of information requiring tools from the computational sciences. In the last few years, we have seen the surge of a new generation of interdisciplinary scientists that have a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific fields is, more than ever, of foremost importance boosting the research efforts in the field and contributing to the education of a new generation of Bioinformatics scientists. PACBB'13 hopes to contribute to this effort promoting this fruitful interaction. PACBB'13 technical program included 19 papers from a submission pool of 32 papers spanning many different sub-fields in Bioinformatics and Computational Biology. Therefore, the conference will certainly have promoted the interaction of scientists from diverse research groups and with a distinct background (computer scientists, mathematicians, biologists). The scientific content will certainly be challenging and will promote the improvement of the work that is being developed by each of the participants.
Publication Date: 2013-04-19
Adaptive and Natural Computing Algorithms by The book constitutes the refereed proceedings of the 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013, held in Lausanne, Switzerland, in April 2013. The 51 revised full papers presented were carefully reviewed and selected from a total of 91 submissions. The papers are organized in topical sections on neural networks, evolutionary computation, soft computing, bioinformatics and computational biology, advanced computing, and applications.
Publication Date: 2013-04-12