EFFICIENT APPROACH FOR VIEW SELECTION FOR DATA WAREHOUSE USING TREE MINING AND EVOLUTIONARY COMPUTATION
نویسندگان
چکیده
منابع مشابه
Efficient Data Mining with Evolutionary Algorithms for Cloud Computing Application
With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...
متن کاملMaterialized View Selection in a Data Warehouse Using Evolutionary Algorithms
A data warehouse stores lots of materialized views to provide an efficient decision-support or OLAP queries. The view-selection problem addresses to select a fittest set of materialized views from a variety of MVPPs (Yang, 1997) forms a challenge in data warehouse research. In this paper, we present genetic algorithm to choose materialized views. We also use experiments to demonstrate the power...
متن کاملefficient data mining with evolutionary algorithms for cloud computing application
with the rapid development of the internet, the amount of information and data which are produced, are extremely massive. hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. data mining can overcome this problem. while data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. as the speed of ...
متن کاملA Hybrid Approach for Data Warehouse View Selection
Materialized view selection is one of the crucial decisions in designing a data warehouse for optimal efficiency. Static selection of views may materialize certain views that are not beneficial as the data and usage trends change over time. On the contrary, dynamic selection of views works better only for queries demanding a high degree of aggregation. These facts point to the need for a techni...
متن کاملOptimizing a Data Warehouse Using Evolutionary Computation
A data warehouse stores huge amounts of data collected from multiple sources and enables users to query that data for analytical and reporting purposes. Data in a data warehouse can be represented as a multidimensional cube. Data warehouse queries tend to be very complex, thus their evaluation requires long hours. Precomputing a proper set of the queries (building subcubes) may significantly re...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Science
سال: 2018
ISSN: 1508-2806
DOI: 10.7494/csci.2018.19.4.3006