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Economic growth has become an academic research focus. In this paper, economic growth of Liaoning Province in recent 10 years is studied based on the catastrophe theory. First, the evaluation index system of economic growth is established according to factors affecting economic growth. And the relative importance of indexes is determined by the entropy weight method. Indexes' catastrophe assessment...
We consider the problem of time-series prediction with missing observations. We consider the autoregressive model (AR model) and cast the problem as a regression problem. On the basic of sampling methods and the online gradient descent (OGD), we propose efficient any-time methods to solve this problem. We show that our algorithm can learn the underlying model efficiently, meanwhile, is robust to the...
In many applications, top-k query is an important operation to return a set of interesting points in a potentially huge data space. It is analyzed in this paper that the existing algorithms cannot process top- k query on massive data efficiently. This paper proposes a novel table-scan-based T2S algorithm to efficiently compute top-k results on massive data. T2S first constructs the presorted table,...
In community web management systems (CWMS), storage structures inspired by universal tables are being used increasingly to manage sparse datasets. Such a sparse wide table (SWT) typically embodies thousands of attributes, with many of them being undefined in each tuple, and low-dimensional structured similarity search on a combination of numerical and text attributes is a common operation. However,...
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