Durable query scheme is used to find objects in historical time series databases. Durable queries can be extended for multidimensional time series analysis. Aggregate scoring function is used to rank the series at every time instance in top-k search. Euclidean distance measure is used in KNN queries at each timestamp between the reference series. Time series analysis plays an important role in predicting the status of the query, at every time stamp to retrieve efficiently. Studies have shown that different approaches are used for different queries over time series. The paper tries to survey some improved methods and have experimentally tested their effectiveness. Besides, it also studies some future directions on historical time series queries.
Keywords
Top K Queries
Temporal Time Serious
Durable Query
Authors
B.Saranya
K.Sumathi
How to Cite this Article
B.Saranya, K.Sumathi (2015).
"STUDY ON TOP K QUERIES AND DURABLE QUERIES OVER TEMPORAL TIME SERIES".
International Journal of Contemporary Research in Computer Science and Technology,
1(5), pp. 163-167.
