2008 | ||
---|---|---|
59 | EE | Qin Jiang, Sheng Ma: Periodic and Subharmonic Solutions for a Class of Local Nonquadratic Second-Order Hamiltonian Systems. CSSE (2) 2008: 818-821 |
58 | EE | Tao Li, Chang-Shing Perng, Sheng Ma: Guest editorial: special issue on temporal data mining: theory, algorithms and applications. Data Min. Knowl. Discov. 16(1): 1-3 (2008) |
57 | EE | Hui Xiong, Wenjun Zhou, Mark Brodie, Sheng Ma: Top-k Correlation Computation. INFORMS Journal on Computing 20(4): 539-552 (2008) |
2007 | ||
56 | EE | Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma, Bojun Yan, Muna Al-Razgan, Dimitris Papadopoulos: Locally adaptive metrics for clustering high dimensional data. Data Min. Knowl. Discov. 14(1): 63-97 (2007) |
2006 | ||
55 | EE | Chang-Shing Perng, Haixun Wang, Sheng Ma: Fast Relevance Discovery in Time Series. ICDM 2006: 1016-1020 |
54 | EE | Fei Wang, Sheng Ma, Liuzhong Yang, Tao Li: Recommendation on Item Graphs. ICDM 2006: 1119-1123 |
53 | EE | Hui Xiong, Mark Brodie, Sheng Ma: TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases. ICDM 2006: 1162-1166 |
2005 | ||
52 | EE | Mark Brodie, Sheng Ma, Guy M. Lohman, Laurent Mignet, Natwar Modani, Mark Wilding, Jon Champlin, Peter Sohn: Quickly Finding Known Software Problems via Automated Symptom Matching. ICAC 2005: 101-110 |
51 | EE | Wei Peng, Tao Li, Sheng Ma: Mining Logs Files for Computing System Management. ICAC 2005: 309-310 |
50 | EE | David Loewenstern, Sheng Ma, Abdi Salahshour: PICCIL: Interactive Learning to Support Log File Categorization. ICAC 2005: 311-312 |
49 | EE | Alina Beygelzimer, Mark Brodie, Sheng Ma, Irina Rish: Test-based diagnosis: tree and matrix representations. Integrated Network Management 2005: 529-542 |
48 | EE | Chang-Shing Perng, Sheng Ma, S. Lin, David Thoenen: Data-driven monitoring design of service level and resource utilization. Integrated Network Management 2005: 89-101 |
47 | EE | Tao Li, Feng Liang, Sheng Ma, Wei Peng: An integrated framework on mining logs files for computing system management. KDD 2005: 776-781 |
46 | Alina Beygelzimer, Emre Erdogan, Sheng Ma, Irina Rish: Statictical Models for Unequally Spaced Time Series. SDM 2005 | |
45 | Tao Li, Sheng Ma, Mitsunori Ogihara: Wavelet Methods in Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 603-626 | |
44 | Mark Brodie, Sheng Ma, Leonid Rachevsky, Jon Champlin: Automated Problem Determination using Call-Stack Matching. J. Network Syst. Manage. 13(2): (2005) | |
43 | EE | Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu: Demand-driven frequent itemset mining using pattern structures. Knowl. Inf. Syst. 8(1): 82-102 (2005) |
42 | EE | Wei Peng, Tao Li, Sheng Ma: Mining logs files for data-driven system management. SIGKDD Explorations 7(1): 44-51 (2005) |
2004 | ||
41 | EE | Tao Li, Mitsunori Ogihara, Sheng Ma: On combining multiple clusterings. CIKM 2004: 294-303 |
40 | EE | Genady Grabarnik, Abdi Salahshour, Balan Subramanian, Sheng Ma: Generic Adapter Logging Toolkit. ICAC 2004: 308-309 |
39 | EE | Tao Li, Sheng Ma: Mining Temporal Patterns Without Predefined Time Windows. ICDM 2004: 451-454 |
38 | EE | Tao Li, Sheng Ma, Mitsunori Ogihara: Entropy-based criterion in categorical clustering. ICML 2004 |
37 | EE | Irina Rish, Mark Brodie, Natalia Odintsova, Sheng Ma, Genady Grabarnik: Real-time problem determination in distributed systems using active probing. NOMS (1) 2004: 133-146 |
36 | EE | Tao Li, Sheng Ma: IFD: Iterative Feature and Data Clustering. SDM 2004 |
35 | EE | Carlotta Domeniconi, Dimitris Papadopoulos, Dimitrios Gunopulos, Sheng Ma: Subspace Clustering of High Dimensional Data. SDM 2004 |
34 | EE | Tao Li, Sheng Ma, Mitsunori Ogihara: Document clustering via adaptive subspace iteration. SIGIR 2004: 218-225 |
2003 | ||
33 | EE | Dimitris Papadopoulos, Carlotta Domeniconi, Dimitrios Gunopulos, Sheng Ma: Clustering gene expression data in SQL using locally adaptive metrics. DMKD 2003: 35-41 |
32 | EE | Wei Fan, Haixun Wang, Philip S. Yu, Sheng Ma: Is random model better? On its accuracy and efficiency. ICDM 2003: 51-58 |
31 | Mark Brodie, Irina Rish, Sheng Ma, Natalia Odintsova: Active Probing Strategies for Problem Diagnosis in Distributed Systems. IJCAI 2003: 1337-1338 | |
30 | EE | Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, José E. Moreira, Sheng Ma, Ricardo Vilalta, Anand Sivasubramaniam: Critical event prediction for proactive management in large-scale computer clusters. KDD 2003: 426-435 |
29 | EE | Chang-Shing Perng, David Thoenen, Genady Grabarnik, Sheng Ma, Joseph L. Hellerstein: Data-driven validation, completion and construction of event relationship networks. KDD 2003: 729-734 |
2002 | ||
28 | Irina Rish, Mark Brodie, Sheng Ma: Accuracy vs. Efficiency Trade-offs in Probabilistic Diagnosis. AAAI/IAAI 2002: 560-566 | |
27 | EE | Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein: User-directed Exploration of Mining Space with Multiple Attributes. ICDM 2002: 394-401 |
26 | EE | Ricardo Vilalta, Sheng Ma: Predicting Rare Events In Temporal Domains. ICDM 2002: 474-481 |
25 | EE | Haixun Wang, Chang-Shing Perng, Sheng Ma, Philip S. Yu: Mining Associations by Pattern Structure in Large Relational Tables. ICDM 2002: 482-489 |
24 | EE | Sheng Ma, Joseph L. Hellerstein, Chang-Shing Perng, Genady Grabarnik: Progressive and Interactive Analysis of Event Data Using Event Miner. ICDM 2002: 661-664 |
23 | Mark M. Maccabee, Sheng Ma: Web Application Performance: Realistic Work Load for Stress Test. Int. CMG Conference 2002: 353-362 | |
22 | EE | Carlotta Domeniconi, Chang-Shing Perng, Ricardo Vilalta, Sheng Ma: A Classification Approach for Prediction of Target Events in Temporal Sequences. PKDD 2002: 125-137 |
21 | EE | Feng Liang, Sheng Ma, Joseph L. Hellerstein: Discovering Fully Dependent Patterns. SDM 2002 |
20 | EE | Mark Brodie, Irina Rish, Sheng Ma: Intelligent probing: A cost-effective approach to fault diagnosis in computer networks. IBM Systems Journal 41(3): 372-385 (2002) |
19 | EE | Ricardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss: Predictive algorithms in the management of computer systems. IBM Systems Journal 41(3): 461-474 (2002) |
18 | EE | Joseph L. Hellerstein, Sheng Ma, Chang-Shing Perng: Discovering actionable patterns in event data. IBM Systems Journal 41(3): 475-493 (2002) |
17 | EE | Michelle X. Zhou, Sheng Ma, Ying Feng: Applying machine learning to automated information graphics generation. IBM Systems Journal 41(3): 504-523 (2002) |
16 | EE | Alina Beygelzimer, Chang-Shing Perng, Sheng Ma: Fast ordering of large categorical datasets for visualization. Intell. Data Anal. 6(4): 379-395 (2002) |
15 | EE | Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein: Discovery in multi-attribute data with user-defined constraints. SIGKDD Explorations 4(1): 56-64 (2002) |
2001 | ||
14 | EE | Sheng Ma, Joseph L. Hellerstein: Mining Partially Periodic Event Patterns with Unknown Periods. ICDE 2001: 205-214 |
13 | EE | Sheng Ma, Joseph L. Hellerstein: Mining Mutually Dependent Patterns. ICDM 2001: 409-416 |
12 | EE | Chang-Shing Perng, Haixun Wang, Sheng Ma, Joseph L. Hellerstein: FARM: A Framework for Exploring Mining Spaces with Multiple Attributes. ICDM 2001: 449-456 |
11 | EE | Alina Beygelzimer, Chang-Shing Perng, Sheng Ma: Fast ordering of large categorical datasets for better visualization. KDD 2001: 239-244 |
10 | EE | Sheng Ma, Chuanyi Ji: Modeling heterogeneous network traffic in wavelet domain. IEEE/ACM Trans. Netw. 9(5): 634-649 (2001) |
2000 | ||
9 | EE | David J. Taylor, Nagui Halim, Joseph L. Hellerstein, Sheng Ma: Scalable Visualization of Event Data. DSOM 2000: 47-58 |
8 | Joseph L. Hellerstein, Sheng Ma: Mining Event Data for Actionable Patterns. Int. CMG Conference 2000: 307-318 | |
1999 | ||
7 | EE | Sheng Ma, Joseph L. Hellerstein: EventBrowser: A Flexible Tool for Scalable Analysis of Event Data. DSOM 1999: 285-296 |
6 | Chuanyi Ji, Sheng Ma, Xusheng Tian: Approximation Capability of Independent Wavelet Models to Heterogeneous Network Traffic. INFOCOM 1999: 170-177 | |
1998 | ||
5 | Sheng Ma, Chuanyi Ji: Modeling Video Traffic in the Wavelet Domain. INFOCOM 1998: 201-208 | |
4 | EE | Sheng Ma, Chuanyi Ji: Fast training of recurrent networks based on the EM algorithm. IEEE Transactions on Neural Networks 9(1): 11-26 (1998) |
1997 | ||
3 | Sheng Ma, Chuanyi Ji: Wavelet Models for Video Time-Series. NIPS 1997 | |
2 | EE | Sheng Ma, Chuanyi Ji, James Farmer: An Efficient EM-based Training Algorithm for Feedforward Neural Networks. Neural Networks 10(2): 243-256 (1997) |
1996 | ||
1 | EE | Chuanyi Ji, Sheng Ma: Combinations of Weak Classifiers. NIPS 1996: 494-500 |