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VLSID
2004
IEEE
85views VLSI» more  VLSID 2004»
16 years 4 months ago
An Area-Efficient Router for the Data-Intensive Architecture (DIVA) System
A key component of the Data-Intensive Architecture (DIVA) is the Processing-In-Memory (PIM) Routing Component (PiRC) that is responsible for efficient communication between PIM ch...
Sumit D. Mediratta, Jeff Sondeen, Jeffrey T. Drape...
SCOPES
2004
Springer
15 years 9 months ago
An Automated C++ Code and Data Partitioning Framework for Data Management of Data-Intensive Applications
An automated framework for code and data partitioning for the needs of data management is presented. The goal is to identify the main data types from the data management perspectiv...
Athanasios Milidonis, Grigoris Dimitroulakos, Mich...
ASC
2008
15 years 4 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
ICDE
2009
IEEE
135views Database» more  ICDE 2009»
16 years 6 months ago
Forward Decay: A Practical Time Decay Model for Streaming Systems
Temporal data analysis in data warehouses and data streaming systems often uses time decay to reduce the importance of older tuples, without eliminating their influence, on the res...
Graham Cormode, Vladislav Shkapenyuk, Divesh Sriva...
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 4 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...