KDD 2009 - PDF Preprint Papers

KDD 2009 International Conference on Knowledge Discovery and Data Mining

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KDD
2009
ACM

655views Data Mining» more KDD 2009»

Regression-based latent factor models

13 years 6 months ago

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Deepak Agarwal, Bee-Chung Chen

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Id	Views	Title	Status

1	655	Regression-based latent factor models	claim
2	611	Fast approximate spectral clustering	claim
3	379	MetaFac: community discovery via relational hypergraph factorization	claim
4	364	Causality quantification and its applications: structuring and modeling of multivariate time series	claim
5	347	Network anomaly detection based on Eigen equation compression	claim
6	347	FpViz: a visualizer for frequent pattern mining	claim
7	322	Mining for the most certain predictions from dyadic data	claim
8	305	Grocery shopping recommendations based on basket-sensitive random walk	claim
9	298	Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering	claim
10	296	Anonymizing healthcare data: a case study on the blood transfusion service	claim
11	269	Frequent pattern mining with uncertain data	claim
12	269	Extracting discriminative concepts for domain adaptation in text mining	claim
13	266	OpinionMiner: a novel machine learning system for web opinion mining and extraction	claim
14	262	Sentiment analysis of blogs by combining lexical knowledge with text classification	claim
15	260	Enabling analysts in managed services for CRM analytics	claim
16	257	Argo: intelligent advertising by mining a user's interest from his photo collections	claim
17	249	Drosophila gene expression pattern annotation using sparse features and term-term interactions	claim
18	248	PSkip: estimating relevance ranking quality from web search clickthrough data	claim
19	245	Mining rich session context to improve web search	claim
20	243	Exploiting Wikipedia as external knowledge for document clustering	claim
21	239	Tell me something I don't know: randomization strategies for iterative data mining	claim
22	239	Applying syntactic similarity algorithms for enterprise information management	claim
23	237	Exploring social tagging graph for web object classification	claim
24	232	Classification of software behaviors for failure detection: a discriminative pattern mining approach	claim
25	232	Probabilistic latent semantic user segmentation for behavioral targeted advertising	claim
26	230	Analyzing patterns of user content generation in online social networks	claim
27	230	Cross domain distribution adaptation via kernel mapping	claim
28	230	Grouped graphical Granger modeling methods for temporal causal modeling	claim
29	229	An association analysis approach to biclustering	claim
30	229	Relational learning via latent social dimensions	claim
31	228	A generalized Co-HITS algorithm and its application to bipartite graphs	claim
32	227	Efficiently learning the accuracy of labeling sources for selective sampling	claim
33	227	User grouping behavior in online forums	claim
34	224	Issues in evaluation of stream learning algorithms	claim
35	223	Collaborative filtering with temporal dynamics	claim
36	221	Migration motif: a spatial - temporal pattern mining approach for financial markets	claim
37	219	Structured correspondence topic models for mining captioned figures in biological literature	claim
38	217	Efficient anomaly monitoring over moving object trajectory streams	claim
39	216	Finding a team of experts in social networks	claim
40	215	Large-scale sparse logistic regression	claim
41	213	A case study of behavior-driven conjoint analysis on Yahoo!: front page today module	claim
42	211	Address standardization with latent semantic association	claim
43	210	Large-scale behavioral targeting	claim
44	210	Modeling and predicting user behavior in sponsored search	claim
45	209	Collective annotation of Wikipedia entities in web text	claim
46	208	A principled and flexible framework for finding alternative clusterings	claim
47	207	DynaMMo: mining and summarization of coevolving sequences with missing values	claim
48	206	Ranking-based clustering of heterogeneous information networks with star network schema	claim
49	205	From active towards InterActive learning: using consideration information to improve labeling correctness	claim
50	204	DOULION: counting triangles in massive graphs with a coin	claim
51	204	Improving classification accuracy using automatically extracted training data	claim
52	203	Characterizing individual communication patterns	claim
53	202	Correlated itemset mining in ROC space: a constraint programming approach	claim
54	200	Visual analysis of documents with semantic graphs	claim
55	200	Multi-way set enumeration in real-valued tensors	claim
56	198	Heterogeneous source consensus learning via decision propagation and negotiation	claim
57	198	Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data	claim
58	196	WhereNext: a location predictor on trajectory pattern mining	claim
59	194	Combining link and content for community detection: a discriminative approach	claim
60	193	Probabilistic frequent itemset mining in uncertain databases	claim
61	193	Category detection using hierarchical mean shift	claim
62	192	Time series shapelets: a new primitive for data mining	claim
63	192	Learning optimal ranking with tensor factorization for tag recommendation	claim
64	192	Co-evolution of social and affiliation networks	claim
65	192	Primal sparse Max-margin Markov networks	claim
66	192	CP-summary: a concise representation for browsing frequent itemsets	claim
67	191	Scalable pseudo-likelihood estimation in hybrid random fields	claim
68	191	BBM: bayesian browsing model from petabyte-scale data	claim
69	191	Efficient methods for topic model inference on streaming document collections	claim
70	191	Improving data mining utility with projective sampling	claim
71	190	Named entity mining from click-through data using weakly supervised latent dirichlet allocation	claim
72	190	Efficient influence maximization in social networks	claim
73	190	Algebraic visual analysis: the Catalano phone call data set case study	claim
74	190	A reputation system for selling human computation	claim
75	189	CoCo: coding cost for parameter-free outlier detection	claim
76	188	Mining broad latent query aspects from search sessions	claim
77	188	Characteristic relational patterns	claim
78	188	Mining discrete patterns via binary matrix factorization	claim
79	188	BGP-lens: patterns and anomalies in internet routing updates	claim
80	187	New ensemble methods for evolving data streams	claim
81	185	On compressing social networks	claim
82	185	Entity discovery and assignment for opinion mining applications	claim
83	184	Thumbs-Up: a game for playing to rank search results	claim
84	183	OLAP on search logs: an infrastructure supporting data-driven applications in search engines	claim
85	183	Financial incentives and the "performance of crowds"	claim
86	182	Scalable graph clustering using stochastic flows: applications to community discovery	claim
87	181	Beyond blacklists: learning to detect malicious web sites from suspicious URLs	claim
88	181	An exploration of climate data using complex networks	claim
89	181	Intelligent file scoring system for malware detection from the gray list	claim
90	180	Mining social networks for personalized email prioritization	claim
91	180	Using graph-based metrics with empirical risk minimization to speed up active learning on networked data	claim
92	180	Consensus group stable feature selection	claim
93	180	Parallel community detection on large networks with propinquity dynamics	claim
94	179	Connections between the lines: augmenting social networks with text	claim
95	179	Identifying graphs from noisy and incomplete data	claim
96	179	A viewpoint-based approach for interaction graph analysis	claim
97	178	Constrained optimization for validation-guided conditional random field learning	claim
98	178	Catching the drift: learning broad matches from clickthrough data	claim
99	177	Decision support and profit prediction for online auction sellers	claim
100	175	Multi-class protein fold recognition using large margin logic based divide and conquer learning	claim
101	174	Audience selection for on-line brand advertising: privacy-friendly social network targeting	claim
102	174	Learning from data with uncertain labels by boosting credal classifiers	claim
103	174	Handling outliers and concept drift in online mass flow prediction in CFB boilers	claim
104	174	Visual exploration of categorical and mixed data sets	claim
105	173	Constant-factor approximation algorithms for identifying dynamic communities	claim
106	173	The offset tree for learning with partial labels	claim
107	173	Ad quality on TV: predicting television audience retention	claim
108	173	Malware detection using statistical analysis of byte-level file content	claim
109	172	Towards combining web classification and web information extraction: a case study	claim
110	172	The role of game theory in human computation systems	claim
111	172	Learning dynamic temporal graphs for oil-production equipment monitoring system	claim
112	170	Genre-based decomposition of email class noise	claim
113	170	Picture this: preferences for image search	claim
114	169	COA: finding novel patents through text analysis	claim
115	169	On burstiness-aware search for document sequences	claim
116	168	Name-ethnicity classification from open sources	claim
117	168	Sustainable operation and management of data center chillers using temporal data mining	claim
118	168	Cartesian contour: a concise representation for a collection of frequent sets	claim
119	168	CAPTCHA-based image labeling on the Soylent Grid	claim
120	168	Scalable clustering and keyword suggestion for online advertisements	claim
121	167	SNARE: a link analytic system for graph labeling and risk detection	claim
122	167	Seven pitfalls to avoid when running controlled experiments on the web	claim
123	167	Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP)	claim
124	167	Exploiting contexts to deal with uncertainty in classification	claim
125	166	Measuring the effects of preprocessing decisions and network forces in dynamic network analysis	claim
126	166	TagCaptcha: annotating images with CAPTCHAs	claim
127	165	Pricing guidance in ad sale negotiations: the PrintAds example	claim
128	164	Social influence analysis in large-scale networks	claim
129	163	Large-scale graph mining using backbone refinement classes	claim
130	162	Augmenting the generalized hough transform to enable the mining of petroglyphs	claim
131	162	TrustWalker: a random walk model for combining trust-based and item-based recommendation	claim
132	161	On formal models for social verification	claim
133	161	Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets	claim
134	160	Clustering event logs using iterative partitioning	claim
135	160	Surveying the complementary role of automatic data analysis and visualization in knowledge discovery	claim
136	159	Adapting the right measures for K-means clustering	claim
137	159	Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation	claim
138	158	Feature shaping for linear SVM classifiers	claim
139	158	Regret-based online ranking for a growing digital library	claim
140	158	KissKissBan: a competitive human computation game for image annotation	claim
141	157	Hierarchical difference scatterplots interactive visual analysis of data cubes	claim
142	157	Accuracy of distance metric learning algorithms	claim
143	156	Multi-focal learning and its application to customer service support	claim
144	156	Effective multi-label active learning for text classification	claim
145	156	Turning down the noise in the blogosphere	claim
146	156	Query result clustering for object-level search	claim
147	156	Collusion-resistant anonymous data collection method	claim
148	153	Predicting bounce rates in sponsored search advertisements	claim
149	152	TANGENT: a novel, 'Surprise me', recommendation algorithm	claim
150	152	A multi-relational approach to spatial classification	claim
151	151	A LRT framework for fast spatial anomaly detection	claim
152	151	Toward autonomic grids: analyzing the job flow with affinity streaming	claim
153	150	Large human communication networks: patterns and a utility-driven generator	claim
154	150	Information theoretic regularization for semi-supervised boosting	claim
155	146	Mining in a mobile environment	claim
156	146	Online allocation of display advertisements subject to advanced sales contracts	claim
157	143	Optimizing web traffic via the media scheduling problem	claim
158	142	Quantification and semi-supervised classification methods for handling changes in class distribution	claim
159	141	Meme-tracking and the dynamics of the news cycle	claim
160	140	Improving clustering stability with combinatorial MRFs	claim
161	133	On the tradeoff between privacy and utility in data publishing	claim
162	132	Learning patterns in the dynamics of biological networks	claim
163	129	Spatial-temporal causal modeling for climate change attribution	claim
164	129	Inferring local synonyms for improving keyword suggestion in an on-line advertisement system	claim

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