Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
Abstract. With the adoption of tablet-based data entry devices, there is considerable interest in methods for converting hand-drawn sketches of flow charts, graphs and block diagr...
Akshaya Kumar Mishra, Justin A. Eichel, Paul W. Fi...
Abstract. This paper reports our research work in the new field of humancomputer collaborative learning (HCCL). The general architecture of an HCCL is defined. An HCCL system, call...
Using 180 RFID tags to track and plot locations over time, guests to an event at the San Francisco Museum of Modern Art (SFMOMA) collectively constructed a public visualization of...
Eric Paulos, Anthony Burke, Tom Jenkins, Karen Mar...
In recent years, new developments in genetics have generated a lot of interest in genomic and proteomic data, investing international significance (and competition) in the fledgli...