Title :
Back to the future: dynamic hierarchical clustering
Author :
Zou, Chendong ; Salzberg, B. ; Ladin, Rivka
Author_Institution :
921 S.W. Washington Ave., Portland, OR, USA
Abstract :
Describes a new method for dynamically clustering hierarchical data which maintains good clustering within disk pages in the presence of insertions and deletions. This simple but effective method, which we call Enc, encodes the insertion order of children with respect to their parents and concatenates the insertion numbers to form a compact key for the data. This compact key is stored only in the indexing structure and does not affect the logical database schema. Experimental results show that our Enc method is very efficient for hierarchical queries and performs reasonably well for random access queries
Keywords :
database theory; encoding; indexing; query processing; random-access storage; software performance evaluation; tree data structures; B+ trees; Enc method; compact key; data deletions; data insertions; disk pages; dynamic hierarchical clustering; hierarchical data; hierarchical queries; indexing structure; insertion numbers; insertion order; logical database schema; performance; random access queries; Databases; Indexing;
Conference_Titel :
Data Engineering, 1998. Proceedings., 14th International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-8186-8289-2
DOI :
10.1109/ICDE.1998.655821