Title :
Indexing inventory snapshots
Author_Institution :
Coll. of Comput. & Inf. Sci., Northeastern Univ., Boston, MA, USA
Abstract :
Summary form only given. Inventory snapshots tell us what was on the shelves of a store at a given moment in time. In this article, an indexing structure that could efficiently capture the inventory at any past time was outlined, the time splitting data structure. It keeps both storage costs and snapshot query costs low.
Keywords :
data structures; database indexing; indexing structure; inventory snapshots; snapshot query costs; storage costs; time splitting data structure; Binary search trees; Costs; Data structures; Educational institutions; History; Indexing; Information science; Marketing and sales;
Conference_Titel :
Temporal Representation and Reasoning, 2005. TIME 2005. 12th International Symposium on
Print_ISBN :
0-7695-2370-6
DOI :
10.1109/TIME.2005.25
