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Info-Kmeans, a K-means clustering method employing KL-divergence as the proximity function, is one of the representative methods in information-theoretic clustering. With the explosive growth of online texts such as online reviews and user-generated content, the text is becoming more sparse and much bigger, which poses significant challenges on both effectiveness and efficiency issues of text clustering...
With the explosion of data in the past decade, big data is becoming a research hotspot in the information field. Many cloud-based distributed data processing platforms have been proposed to provide efficient and cost effective solutions for big data query processing, such as Hadoop, Hive, Pig, etc. However, most of the current research works are focus on improving the performance of query processing...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.