tailieunhanh - Báo cáo hóa học: " IBM T. J. Watson Research Center, 1101 Kitchawan "

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IBM T. J. Watson Research Center, 1101 Kitchawan | EURASIP Journal on Applied Signal Processing 2003 2 91-92 2003 Hindawi Publishing Corporation Editorial Jing Huang IBM T. J. Watson Research Center 1101 Kitchawan Road Yorktown Heights NY 10598 USA Email jghg@ Mukund Padmanabhan Renaissance Technologies Corporation 600 Route 25A East Setauket NY 11733 USA Email mukund@ Savitha Srinivasan IBM Almaden Research Center San Jose CA 95120 USA Email savitha@ The recent proliferation of the worldwide web and the low cost of storage have contributed to an explosively growing volume of information. Traditionally in order to be usable information needs to be in some form of structured format such as records in relational databases XML tagged data types and so forth. The field of structured-information management deals with techniques to create store query and mine these data types. A fundamental characteristic of accessing such a database is that a data query returns an absolute list of matches in the database. However the vast majority of data created and stored today does not exist in structured format. For instance a recent analytic study reports that only about 20 percent of all corporate content exists in structured formats such as transactional data or product specifications. The rest of the data exists in unstructured machine-generated formats such as data from medical sensors security cameras audio recordings of meetings broadcasts traffic video and so forth. There is often very valuable information buried in such unstructured data . call-center data may contain information about customer trends however the information is not directly accessible because of its unstructured nature. Although it is possible to convert such data sources to structured forms by manual processing the high cost associated with this enables only a very small portion of the data to be processed in this fashion. Consequently there is a great deal of research and commercial value in developing methods both to

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