KDD 2007 - PDF Preprint Papers

KDD 2007 International Conference on Knowledge Discovery and Data Mining

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KDD
2007
ACM

566views Data Mining» more KDD 2007»

IMDS: intelligent malware detection system

15 years 25 days ago

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The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...

Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye

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Id	Views	Title	Status

1	566	IMDS: intelligent malware detection system	claim
2	376	Truth discovery with multiple conflicting information providers on the web	claim
3	360	A framework for simultaneous co-clustering and learning from complex data	claim
4	335	Detecting changes in large data sets of payment card data: a case study	claim
5	276	Nonlinear adaptive distance metric learning for clustering	claim
6	249	The minimum consistent subset cover problem and its applications in data mining	claim
7	244	A Recommender System Based on Local Random Walks and Spectral Methods	claim
8	237	Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior	claim
9	231	Xproj: a framework for projected structural clustering of xml documents	claim
10	227	Fast best-effort pattern matching in large attributed graphs	claim
11	220	SCAN: a structural clustering algorithm for networks	claim
12	211	Enhanced max margin learning on multimodal data mining in a multimedia database	claim
13	210	Machine learning for stock selection	claim
14	209	Temporal causal modeling with graphical granger methods	claim
15	206	Automatic labeling of multinomial topic models	claim
16	202	Support feature machine for classification of abnormal brain activity	claim
17	201	Structural and temporal analysis of the blogosphere through community factorization	claim
18	198	Applying Link-Based Classification to Label Blogs	claim
19	197	Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming	claim
20	193	Joint optimization of wrapper generation and template detection	claim
21	192	Active exploration for learning rankings from clickthrough data	claim
22	192	Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework	claim
23	191	Modeling relationships at multiple scales to improve accuracy of large recommender systems	claim
24	191	Cost-effective outbreak detection in networks	claim
25	191	Privacy-Preserving Data Mining through Knowledge Model Sharing	claim
26	190	Model-shared subspace boosting for multi-label classification	claim
27	189	Corroborate and learn facts from the web	claim
28	186	Content-based document routing and index partitioning for scalable similarity-based searches in a large corpus	claim
29	186	An Ad Omnia Approach to Defining and Achieving Private Data Analysis	claim
30	184	GraphScope: parameter-free mining of large time-evolving graphs	claim
31	184	Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis	claim
32	184	Correlation search in graph databases	claim
33	182	Cleaning disguised missing data: a heuristic approach	claim
34	182	A fast algorithm for finding frequent episodes in event streams	claim
35	181	BoostCluster: boosting clustering by pairwise constraints	claim
36	179	Mining statistically important equivalence classes and delta-discriminative emerging patterns	claim
37	178	Real-time ranking with concept drift using expert advice	claim
38	178	Practical learning from one-sided feedback	claim
39	178	Density-based clustering for real-time stream data	claim
40	177	On-board analysis of uncalibrated data for a spacecraft at mars	claim
41	177	Mining optimal decision trees from itemset lattices	claim
42	176	Mining correlated bursty topic patterns from coordinated text streams	claim
43	170	From frequent itemsets to semantically meaningful visual patterns	claim
44	169	Exploiting underrepresented query aspects for automatic query expansion	claim
45	168	Detecting time series motifs under uniform scaling	claim
46	168	Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies	claim
47	168	Finding tribes: identifying close-knit individuals from employment patterns	claim
48	168	A probabilistic framework for relational clustering	claim
49	168	Applying collaborative filtering techniques to movie search for better ranking and browsing	claim
50	167	Generalized component analysis for text with heterogeneous attributes	claim
51	167	Multiscale topic tomography	claim
52	165	Efficient and effective explanation of change in hierarchical summaries	claim
53	165	Stochastic processes and temporal data mining	claim
54	165	Finding low-entropy sets and trees from binary data	claim
55	161	Discovering the hidden structure of house prices with a non-parametric latent manifold model	claim
56	160	Show me the money!: deriving the pricing power of product features by mining consumer reviews	claim
57	159	Local decomposition for rare class analysis	claim
58	159	Constraint-driven clustering	claim
59	159	Practical guide to controlled experiments on the web: listen to your customers not to the hippo	claim
60	159	Domain-constrained semi-supervised mining of tracking models in sensor networks	claim
61	158	Evolutionary spectral clustering by incorporating temporal smoothness	claim
62	157	Association analysis-based transformations for protein interaction networks: a function prediction case study	claim
63	156	Estimating rates of rare events at multiple resolutions	claim
64	155	A framework for community identification in dynamic social networks	claim
65	155	Mining templates from search result records of search engines	claim
66	154	An event-based framework for characterizing the evolutionary behavior of interaction graphs	claim
67	154	Canonicalization of database records using adaptive similarity measures	claim
68	153	Exploiting duality in summarization with deterministic guarantees	claim
69	152	A framework for classification and segmentation of massive audio data streams	claim
70	152	Efficient incremental constrained clustering	claim
71	152	Relational data pre-processing techniques for improved securities fraud detection	claim
72	152	Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers	claim
73	151	Efficient mining of iterative patterns for software specification discovery	claim
74	150	Feature selection methods for text classification	claim
75	149	Distributed classification in peer-to-peer networks	claim
76	149	Partial example acquisition in cost-sensitive learning	claim
77	148	Scalable look-ahead linear regression trees	claim
78	148	Detecting research topics via the correlation between graphs and texts	claim
79	146	Event summarization for system management	claim
80	146	Predictive discrete latent factor models for large scale dyadic data	claim
81	145	Webpage understanding: an integrated approach	claim
82	145	Tracking multiple topics for finding interesting articles	claim
83	144	Fast direction-aware proximity for graph mining	claim
84	143	Mining Research Communities in Bibliographical Data	claim
85	142	Privacy-preservation for gradient descent methods	claim
86	142	Towards Privacy-Preserving Model Selection	claim
87	141	Detecting anomalous records in categorical datasets	claim
88	141	Mining favorable facets	claim
89	139	Making generative classifiers robust to selection bias	claim
90	139	Raising the baseline for high-precision text classifiers	claim
91	139	Looking for Great Ideas: Analyzing the Innovation Jam	claim
92	138	Enhancing semi-supervised clustering: a feature projection perspective	claim
93	138	Trajectory pattern mining	claim
94	138	High-quantile modeling for customer wallet estimation and other applications	claim
95	137	Characterising the difference	claim
96	136	Information genealogy: uncovering the flow of ideas in non-hyperlinked document databases	claim
97	136	On string classification in data streams	claim
98	135	Cross-language information retrieval using PARAFAC2	claim
99	135	Nestedness and segmented nestedness	claim
100	132	LungCAD: a clinically approved, machine learning system for lung cancer detection	claim
101	132	A scalable modular convex solver for regularized risk minimization	claim
102	132	Semi-supervised classification with hybrid generative/discriminative methods	claim
103	127	Extracting relevant named entities for automated expense reimbursement	claim
104	124	Hierarchical mixture models: a probabilistic analysis	claim
105	122	Expertise modeling for matching papers with reviewers	claim
106	121	Preserving the Privacy of Sensitive Relationships in Graph Data	claim
107	112	Statistical change detection for multi-dimensional data	claim

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