Results 101 to 110 of about 21,754,138 (255)
Spatio-Temporal Data Mining: A Survey of Problems and Methods [PDF]
arXiv, 2017 Large volumes of spatio-temporal data are increasingly collected and studied in diverse domains including, climate science, social sciences, neuroscience, epidemiology, transportation, mobile health, and Earth sciences. Spatio-temporal data differs from relational data for which computational approaches are developed in the data mining community for ...
arxiv
, 2013 During the years of the Information Age, technological advances in the computers, satellites, data transfer, optics, and digital storage has led to the collection of an immense mass of data on everything from business to astronomy, counting on the power of digital computing to sort through the amalgam of information and generate meaning from the data ...
Anders Drachen +6 more
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Data tables for microprobe analyses of garnets from skarns at Copper Basin in the Battle Mountain Mining District, Lander County, Nevada [PDF]
, 1987 Jane M. Hammarstrom
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arXiv, 2018 The problem of frequent pattern mining has been studied quite extensively for various types of data, including sets, sequences, and graphs. Somewhat surprisingly, another important type of data, namely rank data, has received very little attention in data mining so far.
arxiv
Estimated water use in Ohio, 1990 -- Mining data [PDF]
, 1993 Ronald J. Veley
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Electronic file of geochemical trace-element data for stream sediment samples collected in the Circle mining district, 1983 [PDF]
, 1994 M. A. Wiltse +3 more
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Mining for treasures of information: data mining
Ceylon Journal of Medical Science, 2002 Data mining is relatively new in data analysis. It is a process that is used to explore and analyze large quantities of data in order to discover meaningful patterns or rules by automatic or semi-automatic means. Currently information-rich sectors benefit from this and most significant and hence profitable applications are in marketing.
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Recent Trends and Research Issues in Video Association Mining [PDF]
arXiv, 2011 With the ever-growing digital libraries and video databases, it is increasingly important to understand and mine the knowledge from video database automatically. Discovering association rules between items in a large video database plays a considerable role in the video data mining research areas. Based on the research and development in the past years,
arxiv
Investigation of stream sediment loads related to placer mining in the upper Birch Creek Basin, Alaska: preliminary TMDL data collection [PDF]
, 1993 Swaagat Ray, William F. Morgan
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A spatial data mining method by Delaunay triangulation [PDF]
, 1997 In-Soo Kang, Tae‐Wan Kim, Ki-Joune Li
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