KDD 2008 - PDF Preprint Papers

KDD 2008 International Conference on Knowledge Discovery and Data Mining

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KDD
2008
ACM

284views Data Mining» more KDD 2008»

Community evolution in dynamic multi-mode networks

15 years 25 days ago

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A multi-mode network typically consists of multiple heterogeneous social actors among which various types of interactions could occur. Identifying communities in a multi-mode netw...

Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri

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Id	Views	Title	Status

1	284	Community evolution in dynamic multi-mode networks	claim
2	274	Data mining using high performance data clouds: experimental studies using sector and sphere	claim
3	264	Stable feature selection via dense feature groups	claim
4	259	Using ghost edges for classification in sparsely labeled networks	claim
5	257	Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model	claim
6	246	Direct mining of discriminative and essential frequent patterns via model-based search tree	claim
7	244	Probabilistic latent semantic visualization: topic model for visualizing documents	claim
8	243	Permu-pattern: discovery of mutable permutation patterns with proximity constraint	claim
9	239	Mining adaptively frequent closed unlabeled rooted trees in data streams	claim
10	234	Angle-based outlier detection in high-dimensional data	claim
11	232	Anticipating annotations and emerging trends in biomedical literature	claim
12	224	The structure of information pathways in a social communication network	claim
13	217	Stream prediction using a generative model based on frequent episodes in event sequences	claim
14	213	Heterogeneous data fusion for alzheimer's disease study	claim
15	211	ArnetMiner: extraction and mining of academic social networks	claim
16	209	Combinational collaborative filtering for personalized community recommendation	claim
17	207	Active learning with direct query construction	claim
18	206	Identifying biologically relevant genes via multiple heterogeneous data sources	claim
19	202	Data and Structural k-Anonymity in Social Networks	claim
20	199	Building semantic kernels for text classification using wikipedia	claim
21	199	Efficient computation of personal aggregate queries on blogs	claim
22	195	Learning from multi-topic web documents for contextual advertisement	claim
23	195	Anomaly pattern detection in categorical datasets	claim
24	193	A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances	claim
25	192	Partial least squares regression for graph mining	claim
26	186	Scalable and near real-time burst detection from eCommerce queries	claim
27	186	Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps	claim
28	184	Joint latent topic models for text and citations	claim
29	183	A bayesian mixture model with linear regression mixing proportions	claim
30	183	Structured entity identification and document categorization: two tasks with one joint model	claim
31	183	De-duping URLs via rewrite rules	claim
32	183	Knowledge transfer via multiple model local structure mapping	claim
33	182	Classification with partial labels	claim
34	181	Learning subspace kernels for classification	claim
35	181	Fastanova: an efficient algorithm for genome-wide association study	claim
36	178	Training structural svms with kernels using sampled cuts	claim
37	178	iSAX: indexing and mining terabyte sized time series	claim
38	176	Febrl -: an open source data cleaning, deduplication and record linkage system with a graphical user interface	claim
39	176	Context-aware query suggestion by mining click-through and session data	claim
40	175	Geocode Matching and Privacy Preservation	claim
41	174	Using predictive analysis to improve invoice-to-cash collection	claim
42	174	Effective label acquisition for collective classification	claim
43	174	Automatic identification of quasi-experimental designs for discovering causal knowledge	claim
44	172	Structured metric learning for high dimensional problems	claim
45	167	A sequential dual method for large scale multi-class linear svms	claim
46	166	Generating succinct titles for web URLs	claim
47	165	Colibri: fast mining of large static and dynamic graphs	claim
48	164	Microscopic evolution of social networks	claim
49	163	The cost of privacy: destruction of data-mining utility in anonymized data publishing	claim
50	162	Composition attacks and auxiliary information in data privacy	claim
51	162	Anonymizing transaction databases for publication	claim
52	161	Locality sensitive hash functions based on concomitant rank order statistics	claim
53	161	An inductive database prototype based on virtual mining views	claim
54	161	Spectral domain-transfer learning	claim
55	159	Semi-supervised learning with data calibration for long-term time series forecasting	claim
56	157	Banded structure in binary matrices	claim
57	156	Can complex network metrics predict the behavior of NBA teams?	claim
58	156	Unsupervised deduplication using cross-field dependencies	claim
59	155	Factorization meets the neighborhood: a multifaceted collaborative filtering model	claim
60	153	Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry	claim
61	153	Information extraction from Wikipedia: moving down the long tail	claim
62	152	Automatic record linkage using seeded nearest neighbour and support vector machine classification	claim
63	152	Fast collapsed gibbs sampling for latent dirichlet allocation	claim
64	150	Hypergraph spectral learning for multi-label classification	claim
65	148	Get another label? improving data quality and data mining using multiple, noisy labelers	claim
66	147	Extracting shared subspace for multi-label classification	claim
67	147	Structured learning for non-smooth ranking losses	claim
68	147	Mobile call graphs: beyond power-law and lognormal distributions	claim
69	147	Constructing comprehensive summaries of large event sequences	claim
70	146	Constraint programming for itemset mining	claim
71	146	Spotting out emerging artists using geo-aware analysis of P2P query strings	claim
72	143	Detecting privacy leaks using corpus-based association rules	claim
73	142	Efficient ticket routing by resolution sequence mining	claim
74	142	Weighted graphs and disconnected components: patterns and a generator	claim
75	140	Semi-supervised approach to rapid and reliable labeling of large data sets	claim
76	140	On updates that constrain the features' connections during learning	claim
77	138	A visual-analytic toolkit for dynamic interaction graphs	claim
78	138	Quantitative evaluation of approximate frequent pattern mining algorithms	claim
79	137	Learning classifiers from only positive and unlabeled data	claim
80	135	Influence and correlation in social networks	claim
81	135	DiMaC: a disguised missing data cleaning tool	claim
82	135	Effective and efficient itemset pattern summarization: regression-based approaches	claim
83	135	Feedback effects between similarity and social influence in online communities	claim
84	134	Privacy-preserving cox regression for survival analysis	claim
85	132	Partitioned logistic regression for spam filtering	claim
86	131	Customer targeting models using actively-selected web content	claim
87	130	Unsupervised feature selection for principal components analysis	claim
88	128	Scaling up text classification for large file systems	claim
89	128	Bypass rates: reducing query abandonment using negative inferences	claim
90	123	Efficient semi-streaming algorithms for local triangle counting in massive graphs	claim
91	121	Reconstructing chemical reaction networks: data mining meets system identification	claim
92	121	Mining multi-faceted overviews of arbitrary topics in a text collection	claim
93	120	Entity categorization over large document collections	claim
94	120	Multi-class cost-sensitive boosting with p-norm loss functions	claim
95	119	SAIL: summation-based incremental learning for information-theoretic clustering	claim
96	119	A unified approach for schema matching, coreference and canonicalization	claim
97	117	Relational learning via collective matrix factorization	claim
98	116	Volatile correlation computation: a checkpoint view	claim
99	115	SPIRAL: efficient and exact model identification for hidden Markov models	claim
100	115	Topical query decomposition	claim
101	111	Fast logistic regression for text categorization with variable-length n-grams	claim
102	110	Mining preferences from superior and inferior examples	claim
103	104	Learning methods for lung tumor markerless gating in image-guided radiotherapy	claim
104	104	Succinct summarization of transactional databases: an overlapped hyperrectangle scheme	claim
105	97	The future of image search	claim

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