Close
Enter your search into one or more of the boxes below:
You can refine your search by selecting from any of the options below:
Search
Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence
Foyalty 239

Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence (Paperback)

£78.95
Despatched in 2 business days.

Synopsis

Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers in deploying data analytics methods to governmental processes. Driven by open government (2009) and big data (2012) initiatives, federal agencies have a serious need to implement intelligent data management methods, share their data, and deploy advanced analytics to their processes. Using federal data for reactive decision making is not sufficient anymore, intelligent data systems allow for proactive activities that lead to benefits such as: improved citizen services, higher accountability, reduced delivery inefficiencies, lower costs, enhanced national insights, and better policy making.



No other government-dedicated work has been found in literature that addresses this broad topic. This book provides multiple use-cases, describes federal data science benefits, and fills the gap in this critical and timely area. Written and reviewed by academics, industry experts, and federal analysts, the problems and challenges of developing data systems for government agencies is presented by actual developers, designers, and users of those systems, providing a unique and valuable real-world perspective.

BusinessIndustry & industrial studiesPrimary industriesAgriculture & related industriesComputing & ITDatabases Publisher: Elsevier Science Publishing Co Inc Publication Date: 22/09/2017 ISBN-13: 9780128124437  Details: Type: Paperback Format: Books
Availability: Despatched in 2 business days. Login for Quick Checkout Add to Basket

Feras A. Batarseh is a Research Assistant Professor in the College of Science at George Mason University (GMU). His research spans the areas of Data Science, Artificial Intelligence, Federal Data Analytics, and Context-Aware Software Systems. Dr. Batarseh obtained his Ph.D. and M.Sc. in Computer Engineering from the University of Central Florida (UCF) (in 2007 and 2011); and a Graduate Certificate in Project Leadership from Cornell University (in 2016). His research work has been published at prestigious journals and international conferences, as well as several book chapters. He taught data science and software engineering courses at multiple universities including GMU, UCF as well as George Washington University (GWU). Prior to joining GMU, Dr. Batarseh was a Program Manager with the Data Mining and Advanced Analytics team at MicroStrategy. Throughout his career, Dr. Batarseh worked with multiple federal and state government agencies on a variety of data science applications and analytical deployments. Additionally, he helped several organizations develop intelligent systems, make sense of their data, and gain insights into improving their operations. He is currently working with the Economic Research Services (ERS at the US Department of Agriculture) towards building intelligent data management systems. He is a member of IEEE, ACM, BICA and STP professional communities. For more information and contact details, please refer to his webpage: https://cos.gmu.edu/ggs/people/faculty-staff/feras-batarseh-2/. Ruixin Yang is an Associate Professor in the Department of Geography and GeoInformation Sciences (GGS) - College of Science at George Mason University. He received his PhD in Aerospace Engineering from University of Southern California in 1990. His research areas ranged from Fluid Dynamics, to Astrophysics and General Relativity, to Data Science, Data Information Systems, Data Analysis, Data Mining, and Earth Systems Science. On software engineering, Dr. Yang led a software development team that built several prototypes for earth science data information systems. The systems include Virtual Domain Application Data Center (VDADC) prototype system for on-line Earth science data analysis through Web technology; Seasonal to Inter-annual Earth Science Information Partner (SIESIP) online data search and analysis system, which integrates Oracle Database Management System, Java web technology, and GrADS, a data analysis and visualization software package; and an XML-based Distributed Metadata Server (DIMES) for representing, storing, retrieving and interoperating metadata in a distributed environment. Recently, Dr. Yang's research is focused on exploratory data analysis and/or data mining with advanced data analysis methods to hurricane related earth science data. He has published several referred papers on earth science data search, access, online analysis, metadata management, content-based search, bid data analytics, and data mining for rapidly intensifying tropical cyclones. He can be reached at: ryang@gmu.edu.

More books by Feras A. Batarseh

More books by Ruixin Yang

Leave Review

Delivery

Delivery Options

All delivery times quoted are the average, and cannot be guaranteed. These should be added to the availability message time, to determine when the goods will arrive. During checkout we will give you a cumulative estimated date for delivery.

Location 1st Book Each additional book Average Delivery Time
UK Standard Delivery FREE FREE 3-5 Days
UK First Class £4.50 £1.00 1-2 Days
UK Courier £7.00 £1.00 1-2 Days
Western Europe** Courier £17.00 £3.00 2-3 Days
Western Europe** Airmail £5.00 £1.50 4-14 Days
USA / Canada Courier £20.00 £3.00 2-4 Days
USA / Canada Airmail £7.00 £3.00 4-14 Days
Rest of World Courier £22.50 £3.00 3-6 Days
Rest of World Airmail £8.00 £3.00 7-21 Days

** Includes Austria, Belgium, Denmark, France, Germany, Greece, Iceland, Irish Republic, Italy, Luxembourg, Netherlands, Portugal, Spain, Sweden and Switzerland.

Delivery Help & FAQs

Returns Information

If you are not completely satisfied with your purchase*, you may return it to us in its original condition with in 30 days of receiving your delivery or collection notification email for a refund. Except for damaged items or delivery issues the cost of return postage is borne by the buyer. Your statutory rights are not affected.

* For Exclusions and terms on damaged or delivery issues see Returns Help & FAQs

You might also like

Operations Management in Agriculture
(Paperback)
Dionysis Bochtis; Claus Aage Gron...
 
 
£59.95
 
The Routledge Handbook of ...
(Hardback)
Gail L. Cramer; Krishna P. Paudel;...
 
 
£175.00
 
Contested Sustainability Discourses ...
(Hardback)
Douglas H. Constance; Jason T....
 
 
£115.00
 
Transforming Climate Finance and ...
(Paperback)
Alastair Marke
 
 
£115.00
 
© W&G Foyle Ltd
Foyles uses cookies to help ensure your experience on our site is the best possible. Click here if you’d like to find out more about the types of cookies we use.
Accept and Close