This explosive growth has generated an even more urgent need for new techniques and automated tools that can help us transform this data into useful information and knowledge. On the collection side, scanned text and image platforms, satellite remote sensing systems, and the World Wide Web have flooded us with a tremendous amount of data. Not only are all of our business, scientific, and government transactions now computerized, but the widespread use of digital cameras, publication tools, and bar codes also generate data. "abstract": "Our ability to generate and collect data has been increasing rapidly. "org": "department of computer science university of illinois at urbana champaign" "title": "Data mining: concepts and techniques", The data schemas of venues, papers and authors are described below. Other entity attributes are also provided, which can be used to do different types of research. Where “mid” is MAG entity ID and “aid” is AMiner entity ID. Data descriptionįor linking relations, each pair is an “ID to ID” pair. After filtering those authors with small paper count, there are 6,855,193 authors in AMiner and 13,173,936 authors in MAG. Please note that for author matching, we only consider authors whose paper count is not less than 5.
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