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143
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KDD
2010
ACM
15 years 6 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
176
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KDD
2010
ACM
15 years 6 months ago
2010
ACM
In this paper, we present a novel exploratory visual analytic system called TIARA (Text Insight via Automated Responsive Analytics), which combines text analytics and interactive ...
178
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Multiple-dimensional, i.e., polyadic, data exist in many applications, such as personalized recommendation and multipledimensional data summarization. Analyzing all the dimensions...
137
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
152
click to vote
CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...