Wang, X., Wang, J.T., Shasha, D., Shapiro, B.A., Rigoutsos, I., Zhang, K.: Finding patterns in three-dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transactions on Knowledge and Data Engineering 14 (2002) 731-- 749 Home/Search Document Details and Download
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Tree: Indexing 3D Point Sets for Pattern Discovery - Xiong Wang Department Self-citation (Wang) (Correct)
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X. Wang, J. Wang, D. Shasha, B. Shapiro, I. Rigoutsos, and K. Zhang. Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transaction on Knowledge and Data Engineering, 14(4):731--749, July/August 2002.
Mining Protein Surfaces - Xiong Wang Department Self-citation (Wang) (Correct)
....these patterns to classify the proteins. Experimental results show the good performance of the proposed approach. 1 Introduction Discovering frequently occurring patterns has been explored in many di#erent domains, e.g. sequences [1] trees [6] semistructured data [7] three dimensional data [9]. Classification is also one of the major tasks of data mining [3] Protein classification is a very important research topic [3, 4, 6] Traditionally, proteins are classified according to their functions. However, recently, many approaches have been proposed to classify proteins according to ....
....a very important research topic [3, 4, 6] Traditionally, proteins are classified according to their functions. However, recently, many approaches have been proposed to classify proteins according to their structures, e.g. sequences [6] secondary structures [6] and three dimensional structures [9]. Many of these methods complemented the traditional approach. In [8, 9] we developed an algorithm for discovering frequently occurring patterns in three dimensional data and applied it to protein classification. While we succeeded in classifying two families of proteins with high recall and ....
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X. Wang, J. T. L. Wang, D. Shasha, B. A. Shapiro, I. Rigoutsos, and K. Zhang. "Finding Patterns in Three Dimensional Graphs: Algorithms and Applications to Scientific Data Mining, " Accepted to IEEE Transactions on Knowledge and Data Engineering, 2001.
DNA Sequence Classification via an Expectation Maximization.. - Ma, Wang (2001) Self-citation (Wang Shasha) (Correct)
....In this paper we focus on the recognition of E. Coli promoters. Specifically, the problem we study here can be formulated as follows. Given an unlabeled DNA sequence S, we want to determine whether or not S is an E. Coli promoter. This is also known as the binary classification problem [28] [31] widely studied in the data mining (DM) field. In binary classification, one is given some training data including both positive and negative examples. The positive data belong to a target class (E. Coli promoters in our case) whereas the negative data belong to the nontarget class. Based on the ....
X. Wang, J. T. L. Wang, D. Shasha, B. A. Shapiro, I. Rigoutsos, and K. Zhang. Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transactions on Knowledge and Data Engineering, in press.
alpha-Surface and Its Application to Mining Protein Data - Wang Self-citation (Wang) (Correct)
....topic with deep implications [1, 2, 3] Traditionally, proteins are classified according to their functions. However, recently, many approaches have been proposed to classify proteins according to their structures, e.g. sequences [3] secondary structures [3] and three dimensional structures [6]. In [5, 6] we developed an algorithm that discovers frequently occurring patterns in a set of 3D graphs. We applied the algorithm to protein classification. While we succeeded in classifying two families of proteins with high recall and precision, experimental results showed that it was ....
....with deep implications [1, 2, 3] Traditionally, proteins are classified according to their functions. However, recently, many approaches have been proposed to classify proteins according to their structures, e.g. sequences [3] secondary structures [3] and three dimensional structures [6] In [5, 6], we developed an algorithm that discovers frequently occurring patterns in a set of 3D graphs. We applied the algorithm to protein classification. While we succeeded in classifying two families of proteins with high recall and precision, experimental results showed that it was difficult to extend ....
[Article contains additional citation context not shown here]
X. Wang, J. T. L. Wang, D. Shasha, B. A. Shapiro, I. Rigoutsos, and K. Zhang. Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transactions on Knowledge and Data Engineering,To appear.
Implicit Enumeration of Patterns - Mielikäinen (2004) (Correct)
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Wang, X., Wang, J.T., Shasha, D., Shapiro, B.A., Rigoutsos, I., Zhang, K.: Finding patterns in three-dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transactions on Knowledge and Data Engineering 14 (2002) 731-- 749
Primitives for Online Time Series Analysis - December Summary Data (Correct)
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X. Wang, J. T.-L. Wang, D. Shasha, B. Shapiro, I. Rigoutsos, and K. Zhang. Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transactions on Knowledge and Data Engineering, pages 731--749, 2002.
Primitives for Online Time Series Analysis - December Summary Data (Correct)
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X. Wang, J. T.-L. Wang, D. Shasha, B. Shapiro, I. Rigoutsos, and K. Zhang. Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transactions on Knowledge and Data Engineering, pages 731--749, 2002.
Primitives for Online Time Series Analysis - December The Vision (Correct)
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X. Wang, J. T.-L. Wang, D. Shasha, B. Shapiro, I. Rigoutsos, and K. Zhang. Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transactions on Knowledge and Data Engineering, pages 731--749, 2002.
Finding Frequent Patterns in a Large Sparse Graph - Kuramochi, Karypis (2004) (2 citations) (Correct)
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X. Wang, J. T. L. Wang, D. Shasha, B. A. Shapiro, I. Rigoutsos, and K. Zhang. Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transactions on Knowledge and Data Engineering, 14(4):731-- 749, July/August 2002.
Finding Frequent Patterns in a Large Sparse Graph - Kuramochi, Karypis (2003) (2 citations) (Correct)
No context found.
X. Wang, J. T. L. Wang, D. Shasha, B. A. Shapiro, I. Rigoutsos, and K. Zhang. Finding patterns in three dimensional graphs: Algorithms and applications to scientific data mining. IEEE Transactions on Knowledge and Data Engineering, 14(4):731-- 749, July/August 2002.
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