ICDM 2008 - PDF Preprint Papers

ICDM 2008 IEEE International Conference on Data Mining

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ICDM
2008
IEEE

401views Data Mining» more ICDM 2008»

Graph OLAP: Towards Online Analytical Processing on Graphs

14 years 5 months ago

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OLAP (On-Line Analytical Processing) is an important notion in data analysis. Recently, more and more graph or networked data sources come into being. There exists a similar need ...

Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Phil...

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Id	Views	Title	Status

1	401	Graph OLAP: Towards Online Analytical Processing on Graphs	claim
2	252	Data Mining for Climate Change and Impacts	claim
3	235	DECK: Detecting Events from Web Click-Through Data
4	230	Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State	claim
5	230	Clustering Distributed Time Series in Sensor Networks	claim
6	224	A Non-parametric Approach to Pair-Wise Dynamic Topic Correlation Detection	claim
7	222	GRAPHITE: A Visual Query System for Large Graphs	claim
8	193	Multiplicative Mixture Models for Overlapping Clustering	claim
9	190	Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data	claim
10	186	xCrawl: A High-Recall Crawling Method for Web Mining	claim
11	185	Clustering Uncertain Data Using Voronoi Diagrams	claim
12	184	Bayesian Co-clustering	claim
13	183	Collaborative Filtering for Implicit Feedback Datasets	claim
14	182	Multiple-Instance Regression with Structured Data	claim
15	179	Detection and Exploration of Outlier Regions in Sensor Data Streams	claim
16	176	Inlier-Based Outlier Detection via Direct Density Ratio Estimation	claim
17	175	Overlapping Matrix Pattern Visualization: A Hypergraph Approach	claim
18	172	Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference	claim
19	172	Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization	claim
20	168	Measuring Proximity on Graphs with Side Information	claim
21	164	Classifying High-Dimensional Text and Web Data Using Very Short Patterns	claim
22	160	Direct Zero-Norm Optimization for Feature Selection	claim
23	156	Exploiting Local and Global Invariants for the Management of Large Scale Information Systems	claim
24	156	Mining Allocating Patterns in One-Sum Weighted Items	claim
25	155	Alert Detection in System Logs	claim
26	155	Organic Pie Charts	claim
27	151	An Adaptive Pre-filtering Technique for Error-Reduction Sampling in Active Learning	claim
28	150	Pseudolikelihood EM for Within-network Relational Learning	claim
29	148	Formal Models for Expert Finding on DBLP Bibliography Data	claim
30	147	Clustering Documents with Active Learning Using Wikipedia	claim
31	146	Isolation Forest	claim
32	146	Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets	claim
33	145	Paired Learners for Concept Drift	claim
34	143	Exploiting Data Semantics to Discover, Extract, and Model Web Sources	claim
35	142	Unsupervised Face Annotation by Mining the Web	claim
36	142	Clustering Events on Streams Using Complex Context Information	claim
37	141	Scalable Tensor Decompositions for Multi-aspect Data Mining	claim
38	138	Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective	claim
39	137	Stream Sequential Pattern Mining with Precise Error Bounds	claim
40	137	Iterative Set Expansion of Named Entities Using the Web	claim
41	136	Document-Word Co-regularization for Semi-supervised Sentiment Analysis	claim
42	136	Generalized Framework for Syntax-Based Relation Mining	claim
43	135	A Data Stream Mining System	claim
44	130	Text Cube: Computing IR Measures for Multidimensional Text Database Analysis	claim
45	130	Inference Analysis in Privacy-Preserving Data Re-publishing	claim
46	130	Mining Temporal Patterns with Quantitative Intervals	claim
47	129	Sequence Mining Automata: A New Technique for Mining Frequent Sequences under Regular Expressions	claim
48	128	Cost-Sensitive Parsimonious Linear Regression	claim
49	127	Frequent Subgraph Retrieval in Geometric Graph Databases	claim
50	127	The Impact of Structural Changes on Predictions of Diffusion in Networks	claim
51	127	Word Sense Discovery for Web Information Retrieval	claim
52	126	Detecting Suspicious Behavior in Surveillance Images	claim
53	124	Interactive Exploration of Model-Based Automatically Extracted Data	claim
54	123	Discovering Flow Anomalies: A SWEET Approach	claim
55	123	Mining Periodic Behavior in Dynamic Social Networks	claim
56	122	Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding	claim
57	121	Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams	claim
58	121	Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering	claim
59	120	Anti-monotonic Overlap-Graph Support Measures	claim
60	120	Prediction of Skin Penetration Using Machine Learning Methods	claim
61	120	Predicting Future Decision Trees from Evolving Data	claim
62	120	Parameter Tuning for Differential Mining of String Patterns	claim
63	118	Dirichlet Process Based Evolutionary Clustering	claim
64	118	Extension of Partitional Clustering Methods for Handling Mixed Data	claim
65	117	RTM: Laws and a Recursive Generator for Weighted Time-Evolving Graphs	claim
66	117	Improving Collaborative Filtering Recommendations Using External Data	claim
67	117	Semantic Full-Text Search with ESTER: Scalable, Easy, Fast	claim
68	115	Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons	claim
69	113	Text Mining in Radiology Reports	claim
70	113	Online Reliability Estimates for Individual Predictions in Data Streams	claim
71	112	Supervised Inductive Learning with Lotka-Volterra Derived Models	claim
72	112	Nearest Neighbour Classifiers for Streaming Data with Delayed Labelling	claim
73	112	A Radar for the Internet	claim
74	110	Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data	claim
75	109	Learning by Propagability	claim
76	109	Quantitative Association Analysis Using Tree Hierarchies	claim
77	108	Non-negative Matrix Factorization on Manifold	claim
78	107	M3MIML: A Maximum Margin Method for Multi-instance Multi-label Learning	claim
79	107	Graph-Based Iterative Hybrid Feature Selection	claim
80	107	GeoDMA - A Novel System for Spatial Data Mining	claim
81	106	Metropolis Algorithms for Representative Subgraph Sampling	claim
82	106	Boosting Relational Sequence Alignments	claim
83	106	Spatiotemporal Relational Probability Trees: An Introduction	claim
84	105	Distributed Data Mining Models as Services on the Grid	claim
85	104	A Generative Probabilistic Model for Multi-label Classification	claim
86	102	A Non-parametric Semi-supervised Discretization Method	claim
87	102	Mining Order-Preserving Submatrices from Data with Repeated Measurements	claim
88	101	Discovering Implicit Redundancies in Network Communications for Detecting Inconsistent Values	claim
89	100	Block-Iterative Algorithms for Non-negative Matrix Approximation	claim
90	99	One-Class Collaborative Filtering	claim
91	99	Finding Good Itemsets by Packing Data	claim
92	99	Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines	claim
93	97	Semi-supervised Learning from General Unlabeled Data	claim
94	97	OntoDM: An Ontology of Data Mining	claim
95	96	Filling in the Blanks - Krimp Minimisation for Missing Data	claim
96	95	Publishing Sensitive Transactions for Itemset Utility	claim
97	92	A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation	claim
98	91	A Robust Discriminative Term Weighting Based Linear Discriminant Method for Text Classification	claim
99	90	Iterative Subgraph Mining for Principal Component Analysis	claim
100	90	Finding Alternative Clusterings Using Constraints	claim
101	88	Using Wikipedia for Co-clustering Based Cross-Domain Text Classification	claim
102	86	Efficient Feature Selection in the Presence of Multiple Feature Classes	claim
103	86	Mining Large Networks with Subgraph Counting	claim
104	84	Investigation of Various Matrix Factorization Methods for Large Recommender Systems	claim
105	80	Collective Latent Dirichlet Allocation	claim
106	79	Title-Composing Support System for Reaching New Audiences	claim
107	75	Temporal Evolution of the UK Web	claim

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