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Hybrid Intelligent Systems for Information Retrieval covers three
areas along with the introduction to Intelligent IR, i.e., Optimal
Information Retrieval Using Evolutionary Approaches, Semantic
Search for Web Information Retrieval, and Natural Language
Processing for Information Retrieval. * Talks about the design,
implementation, and performance issues of the hybrid intelligent
information retrieval system in one book * Gives a clear insight
into challenges and issues in designing a hybrid information
retrieval system * Includes case studies on structured and
unstructured data for hybrid intelligent information retrieval *
Provides research directions for the design and development of
intelligent search engines This book is aimed primarily at
graduates and researchers in the information retrieval domain.
The Healthcare industry is one of the largest and rapidly
developing industries. Over the last few years, healthcare
management is changing from disease centered to patient centered.
While on one side the analysis of healthcare data plays an
important role in healthcare management, but on the other side the
privacy of a patient's record must be of equal concern. This book
uses a research-oriented approach and focuses on privacy-based
healthcare tools and technologies. It offers details on privacy
laws with real-life case studies and examples, and addresses
privacy issues in newer technologies such as Cloud, Big Data, and
IoT. It discusses the e-health system and preserving its privacy,
and the use of wearable technologies for patient monitoring, data
streaming and sharing, and use of data analysis to provide various
health services. This book is written for research scholars,
academicians working in healthcare and data privacy domains, as
well as researchers involved with healthcare law, and those working
at facilities in security and privacy domains. Students and
industry professionals, as well as medical practitioners might also
find this book of interest.
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