Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jeffrey Kreulen"'
Autor:
Fatma Ozcan, Abdul Quamar, Jeffrey Kreulen, Robert J. Moore, Dorian B. Miller, Rebecca Niehus
Publikováno v:
Proceedings of the VLDB Endowment. 13:3369-3381
Business intelligence (BI) applications play an important role in the enterprise to make critical business decisions. Conversational interfaces enable non-technical enterprise users to explore their data, democratizing access to data significantly. I
Autor:
Robert J. Moore, Vasilis Efthymiou, Abdul Quamar, Jeffrey Kreulen, Fatma Ozcan, Dorian B. Miller, Chuan Lei
Publikováno v:
SIGMOD Conference
Domain-specific knowledge bases (KB), carefully curated from various data sources, provide an invaluable reference for professionals. Conversation systems make these KBs easily accessible to professionals and are gaining popularity due to recent adva
Autor:
Chen Ying, Thomas D. Griffin, Linda Kato, Stephen K. Boyer, Alfredo Alba, Su Yan, Ana Lelescu, Scott Spangler, Jeffrey Kreulen
Publikováno v:
World Patent Information. 33:328-339
Exploratory Analytics is the process of analyzing data for the purpose of forming hypotheses. Patent data sets, because they are relatively large and diverse and because they consist of a mixture of structured and unstructured information present a f
Autor:
William Scott Spangler, Alfredo Alba, Larry Proctor, Ana Lelescu, Ying Chen, Amit Behal, Jeffrey Kreulen
Publikováno v:
IBM Journal of Research and Development. 54:1-13
As a result of the growth of the Internet, the amount of available information is exponentially increasing. However, increasing the amount of information does not imply increasing usefulness. Furthermore, as the complexity of business relationships i
Autor:
Eric T. Bradlow, Prasad A. Naik, Lynd Bacon, Michel Wedel, David Madigan, Peter Lenk, Alan L. Montgomery, Wagner A. Kamakura, Anand V. Bodapati, Jeffrey Kreulen
Publikováno v:
Marketing Letters. 19:201-213
Modern businesses routinely capture data on millions of observations across subjects, brand SKUs, time periods, predictor variables, and store locations, thereby generating massive high-dimensional datasets. For example, Netflix has choice data on bi
Publikováno v:
Communications of the ACM. 49:81-85
Computer scientists work with formal models of algorithms and computation, and someday service scientists may work with formal models of service systems. The four examples here document some of the early efforts to establish a new academic discipline
Publikováno v:
IBM Systems Journal. 45:785-799
Data-mining techniques that detect trends and patterns in structured data are often ill-suited for analysis of unstructured text. Information critical to business- and generated by groups such as employees, customers, and the public-appears in such f
Publikováno v:
Journal of Management Information Systems. 19:191-212
We present a novel system and methodology for generating and then browsing multiple taxonomies over a document collection. Taxonomies are generated using a broad set of capabilities, including meta data, key word queries, and automated clustering tec
Publikováno v:
IBM Systems Journal. 41:697-713
Enterprise executives understand that timely, accurate knowledge can mean improved business performance. Two technologies have been central in improving the quantitative and qualitative value of the knowledge available to decision makers: business in
Publikováno v:
2011 Annual SRII Global Conference.
Analytics technologies that mine large amount of structured and unstructured data to gain insights are becoming increasingly important to businesses. In particular, the growing availability of enterprise proprietary data, coupled with publically aggr