SIGMOD 1999 - PDF Preprint Papers

SIGMOD 1999 International Conference on Management of Data

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SIGMOD
1999
ACM

183views Database» more SIGMOD 1999»

OPTICS: Ordering Points To Identify the Clustering Structure

13 years 1 months ago

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Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...

Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...

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Id	Views	Title	Status

1	183	OPTICS: Ordering Points To Identify the Clustering Structure	claim
2	181	Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets	claim
3	157	Bottom-Up Computation of Sparse and Iceberg CUBEs	claim
4	143	WALRUS: A Similarity Retrieval Algorithm for Image Databases	claim
5	140	A Database Perspective on Lotus Domino/Notes	claim
6	138	Storing Semistructured Data with STORED	claim
7	136	Query Rewriting for Semistructured Data	claim
8	135	Improving OLTP Data Quality Using Data Warehouse Mechanisms	claim
9	132	Mind Your Vocabulary: Query Mapping Across Heterogeneous Information Sources	claim
10	127	An Adaptive Query Execution System for Data Integration	claim
11	125	Selectivity Estimation in Spatial Databases	claim
12	122	BOAT-Optimistic Decision Tree Construction	claim
13	118	Data Integration and Warehousing in Telecom Italia	claim
14	114	A Layered Architecture for Querying Dynamic Web Content	claim
15	112	A New Method for Similarity Indexing of Market Basket Data	claim
16	111	Database Patchwork on the Internet	claim
17	110	Multi-dimensional Selectivity Estimation Using Compressed Histogram Information	claim
18	108	Ripple Joins for Online Aggregation	claim
19	108	DynaMat: A Dynamic View Management System for Data Warehouses	claim
20	107	Client-Site Query Extensions	claim
21	107	Efficient Concurrency Control for Broadcast Environments	claim
22	101	Join Synopses for Approximate Query Answering	claim
23	101	Computing Capabilities of Mediators	claim
24	99	Belief Reasoning in MLS Deductive Databases	claim
25	98	Self-tuning Histograms: Building Histograms Without Looking at Data	claim
26	98	Integration of Spatial Join Algorithms for Processing Multiple Inputs	claim
27	95	Record-Boundary Discovery in Web Documents	claim
28	94	Logical Logging to Extend Recovery to New Domains	claim
29	90	XML-Based Information Mediation with MIX	claim
30	90	PowerBookmarks: A System for Personalizable Web Information Organization, Sharing, and Management	claim
31	87	On Random Sampling over Joins	claim
32	79	Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse	claim

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