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Patent Analysis and Mining for Business Intelligence SpringerBriefs in Computer Science
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Patent Analysis and Mining for Business Intelligence ~ This book provides a comprehensive compendium of recent research on business intelligence-oriented patent data analysis and mining. Through the book, the readers will gain an essential understanding of the following topics: (1) text mining modeling for patent documents, including statistics modeling and key phrase extraction mining; (2) the patent retrieval method, including chuck based .
Patent Analysis and Mining for Business Intelligence ~ Patent Analysis and Mining for Business Intelligence (SpringerBriefs in Computer Science) by Bo Jin Patent Analysis and Mining for Business Intelligence (SpringerBriefs in Computer Science) by Bo Jin. This book provides a comprehensive compendium of recent research on business intelligence-oriented patent data analysis and mining.
New & Forthcoming Titles - International Publisher Science ~ Patent Analysis and Mining for Business Intelligence. Series: SpringerBriefs in Computer Science. . SpringerBriefs in Computer Science. Alves Louza, Felipe, Gog, . Mastercard, American Express or Paypal. After the purchase you can directly download the eBook file or read it online. Via MySpringer you can always re-download your eBooks.
PatentMiner: Topic-driven Patent Analysis and Mining ~ PatentMiner: Topic-driven Patent Analysis and Mining Jie Tang†, Bo Wang†, Yang Yang†,PoHu†, Yanting Zhao†,XinyuYan†,BoGao†, Minlie Huang†, Peng Xu , Weichang Li , and Adam K. Usadi †Department of Computer Science and Technology, Tsinghua University, China ExxonMobil Research and Engineering Company, New Jersey, USA jietang@tsinghua.edu.cn
Mining Changes in Patent Trends for Competitive Intelligence ~ Patent data is an important source of competitive intelligence that enterprises can use to gain a strategic advantage. Under existing approaches, to detect changes in patent trends, business managers must rely on comparing two patent analysis charts of different time periods, it requires human effort and time.
Big Data for Prediction: Patent Analysis – Patenting Big ~ Additional goal of this paper is to assess the usability of several data mining and text mining methods for the purpose of patent analysis, specifically association analysis of IPC patent areas, key-terms extraction and clustering. For this purpose, Statistica Text Miner 13.0, and Provalis Wordstat 8.0 has been used.
A Text-Mining-based Patent Analysis in Product Innovative ~ Text mining could be used to analyze these textual documents and extract useful information from large amount documents quickly and automatically. In this paper, a computer-aided approach for extracting useful information from patent documents according to TRIZ Inventive Principles is proposed.
Network Role Mining and Analysis / Derek Doran / Springer ~ Derek Doran is an Assistant Professor in the Department of Computer Science and Engineering at Wright State University in Dayton, OH. . His publications on large-scale network analysis, social media mining, and data science pedagogy have been recognized with best paper awards and nominations, and is an inventor on multiple patents on network .
Business intelligence: the importance of a strong patent ~ Analysing patent data for business intelligence Tapping into patent data by performing a search on free or commercial databases is just the start of the journey to gain actionable intelligence. Visualisation and analysis of large patent data sets of tens of thousands of patents at one time can be performed using third party stand-alone analysis .
Patent Analytics - Derwent ~ Patent watching. Derwent’s patent watch and profiling services delivers timely alerts to track changes in your patent landscape. This could range from a simple ‘heads up’ for newly issued patents or new entrants meeting a given criteria, to the identification of possible infringing patents.
Mining USPTO full text patent data - An exploratory ~ The patent application dates plot suggests that the patent examination phase for the considered patents takes about 2.5 years. In fact the average time from patent filing to approval is 2.83 years with a standard deviation of 1.72 years in this dataset (that is, among the considered ML and AI related patents in 2017).
Process Mining in Healthcare / SpringerLink ~ This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
The WIPO Manual on Open Source Patent Analytics ~ For example, the recent WIPO Patent Landscape for Animal Genetic Resources involved the use of GNU Parallel and Map Reduce for large scale text mining of 11 million whole text patents using pattern matching in Ruby, combined with the use of PATSTAT for statistics, Thomson Innovation and VantagePoint for validation, and Tableau and Gephi for .
(PDF) Text mining techniques for patent analysis ~ Therefore, based on the patent analysis scenario introduced above, a text mining methodology specialized for full-text patent analysis is proposed and shown in Figure 2. First,
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Home Page ::: Recent Patents on Computer Science ~ Recent Patents on Computer Science publishes full-length/mini reviews, research articles and guest edited thematic issues on recent patents in all areas of computer science. A selection of important and recent patents on computer science is also included in the journal. The journal is essential reading for all researchers involved in computer science.
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Process Mining in Healthcare - Evaluating and Exploiting ~ This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
Business Intelligence, Analytics, and Data Science: A ~ For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice. See the decision-making aspects: Managerial Approach.
Analytics, Data Science, & Artificial Intelligence ~ Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organizations .
New Releases in Data Mining - ~ The Fundamentals of Data Science: Big Data, Deep Learning, and Machine Learning: What You Need to Know About Data Science and Why It Matters . Patent Analysis and Mining for Business Intelligence (SpringerBriefs in Computer Science) Bo Jin. Paperback. $53.99 #47.
Exploring Technology Influencers from Patent Data Using ~ There are also data mining methods by which patent documents can be classified, such as by technical characteristics, to support business decision-making. The main contribution of this study is to apply data mining methods and social network analysis to gain knowledge in emerging technologies and find informative technology trends from patent data.
Paulo Shakarian - Wikipedia ~ Paulo Shakarian is the CEO and co-founder of Cyber Reconnaissance, Inc., (CYR3CON), assistant professor at Arizona State University and an author of several books. His work on cyber threat intelligence and artificial intelligence has been featured in Forbes, the New Yorker, Slate, the Economist, Business Insider, TechCrunch, CNN and BBC.
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