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» Scalable Keyword Search on Large Data Streams
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KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 10 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
15 years 12 months ago
SQAK: doing more with keywords
Today's enterprise databases are large and complex, often relating hundreds of entities. Enabling ordinary users to query such databases and derive value from them has been o...
Sandeep Tata, Guy M. Lohman
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 6 months ago
A Local Scalable Distributed Expectation Maximization Algorithm for Large Peer-to-Peer Networks
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
Kanishka Bhaduri, Ashok N. Srivastava
IPPS
2008
IEEE
15 years 6 months ago
Towards feasibility and scalability of text search in peer-to-peer systems
— In this paper, we introduce a search engine, Dgoogle, designed for large scale P2P systems. Dgoogle is purely text-based, does not organize documents based on pre-defined keyw...
A. Lal, V. Gupta, Khaled Harfoush, Injong Rhee
SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
15 years 12 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang