ICDM 2010 - PDF Preprint Papers

ICDM 2010 IEEE International Conference on Data Mining

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ICDM
2010
IEEE

362views Data Mining» more ICDM 2010»

Scalable Influence Maximization in Social Networks under the Linear Threshold Model

13 years 10 months ago

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Wei Chen, Yifei Yuan, Li Zhang

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Id	Views	Title	Status

1	362	Scalable Influence Maximization in Social Networks under the Linear Threshold Model	claim
2	276	Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs	claim
3	273	Learning Maximum Lag for Grouped Graphical Granger Models	claim
4	267	Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model	claim
5	264	Block-GP: Scalable Gaussian Process Regression for Multimodal Data	claim
6	235	Content-Based Methods for Predicting Web-Site Demographic Attributes	claim
7	232	gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration	claim
8	230	Clustering Large Attributed Graphs: An Efficient Incremental Approach	claim
9	228	Multi-label Feature Selection for Graph Classification	claim
10	228	Active Learning from Multiple Noisy Labelers with Varied Costs	claim
11	226	Edge Weight Regularization over Multiple Graphs for Similarity Learning	claim
12	217	iSAX 2.0: Indexing and Mining One Billion Time Series	claim
13	217	Discovering Temporal Features and Relations of Activity Patterns	claim
14	216	K-AP: Generating Specified K Clusters by Efficient Affinity Propagation	claim
15	216	Data Editing Techniques to Allow the Application of Distance-Based Outlier Detection to Streams	claim
16	213	Modeling Experts and Novices in Citizen Science Data for Species Distribution Modeling	claim
17	212	Modeling Information Diffusion in Implicit Networks	claim
18	208	Bonsai: Growing Interesting Small Trees	claim
19	205	Knowledge File System -- A Principled Approach to Personal Information Management	claim
20	202	Discovering Overlapping Groups in Social Media	claim
21	201	Mining Closed Strict Episodes	claim
22	200	Bayesian Maximum Margin Clustering	claim
23	199	Addressing Concept-Evolution in Concept-Drifting Data Streams	claim
24	198	Hierarchical Ensemble Clustering	claim
25	197	D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification	claim
26	193	Supervised Link Prediction Using Multiple Sources	claim
27	189	S4: Distributed Stream Computing Platform	claim
28	187	Financial Forecasting with Gompertz Multiple Kernel Learning	claim
29	186	MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model	claim
30	185	Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia	claim
31	178	Exploiting Unlabeled Data to Enhance Ensemble Diversity	claim
32	172	Learning Attribute-to-Feature Mappings for Cold-Start Recommendations	claim
33	170	Targeting Television Audiences Using Demographic Similarity	claim
34	168	Anomaly Detection Using an Ensemble of Feature Models	claim
35	167	Averaged Stochastic Gradient Descent with Feedback: An Accurate, Robust, and Fast Training Method	claim
36	166	Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection	claim
37	164	Improved Consistent Sampling, Weighted Minhash and L1 Sketching	claim
38	164	On Finding Similar Items in a Stream of Transactions	claim
39	163	The Effect of History on Modeling Systems' Performance: The Problem of the Demanding Lord	claim
40	160	A Privacy Preserving Framework for Gaussian Mixture Models	claim
41	158	Patterns on the Connected Components of Terabyte-Scale Graphs	claim
42	157	Privacy Violations Using Microtargeted Ads: A Case Study	claim
43	154	Mining Public Transport Usage for Personalised Intelligent Transport Systems	claim
44	154	Discrimination Aware Decision Tree Learning	claim
45	152	Reviewer Profiling Using Sparse Matrix Regression	claim
46	150	Probabilistic Inference Protection on Anonymized Data	claim
47	150	Detecting Novel Discrepancies in Communication Networks	claim
48	148	Sparse Boolean Matrix Factorizations	claim
49	148	Comparing Vessel Trajectories Using Geographical Domain Knowledge and Alignments	claim
50	147	Location and Scatter Matching for Dataset Shift in Text Mining	claim
51	147	Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach	claim
52	146	Mining Sensor Streams for Discovering Human Activity Patterns over Time	claim
53	146	One-Class Matrix Completion with Low-Density Factorizations	claim
54	142	Anonymizing Temporal Data	claim
55	142	Causal Discovery from Streaming Features	claim
56	142	Towards Community Discovery in Signed Collaborative Interaction Networks	claim
57	137	Automated Prompting in a Smart Home Environment	claim
58	135	Learning a Bi-Stochastic Data Similarity Matrix	claim
59	134	Consequences of Variability in Classifier Performance Estimates	claim
60	133	QMAS: Querying, Mining and Summarization of Multi-modal Databases	claim
61	132	Monotone Relabeling in Ordinal Classification	claim
62	130	Using Taxonomies to Perform Aggregated Querying over Imprecise Data	claim
63	128	User-Based Active Learning	claim
64	127	Learning Markov Network Structure with Decision Trees	claim
65	126	Adaptive Distances on Sets of Vectors	claim
66	125	Topic Modeling Ensembles	claim
67	125	Abstraction Augmented Markov Models	claim
68	125	Mining Arabic Business Reviews	claim
69	125	Evolving Ensemble-Clustering to a Feedback-Driven Process	claim
70	123	Catching a Viral Video	claim
71	122	Learning Preferences with Millions of Parameters by Enforcing Sparsity	claim
72	122	Interesting Subset Discovery and Its Application on Service Processes	claim
73	121	Recommending Social Events from Mobile Phone Location Data	claim
74	119	Visually Controllable Data Mining Methods	claim
75	117	Node Similarities from Spreading Activation	claim
76	115	Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times	claim
77	112	The Meme Ranking Problem: Maximizing Microblogging Virality	claim
78	111	ValuePick: Towards a Value-Oriented Dual-Goal Recommender System	claim
79	110	Multi-step Time Series Prediction in Complex Instrumented Domains	claim
80	109	Term Filtering with Bounded Error	claim
81	108	Assessing Data Mining Results on Matrices with Randomization	claim
82	105	On the Vulnerability of Large Graphs	claim
83	101	Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems	claim
84	99	A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support	claim
85	96	Multi-dimensional Mass Estimation and Mass-based Clustering	claim
86	96	Domain-Driven Data Mining for IT Infrastructure Support	claim

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