An efficient sampling scheme for approximate processing of decision support queries

QR Code

An efficient sampling scheme for approximate processing of decision support queries

Decision support queries usually involve accessing enormous amount of data requiring significant retrieval time. Faster retrieval of query results can often save precious time for the decision maker. Pre-computation of materialised views and sampling are two ways of achieving significant speed up. H...

Full description

Bibliographic Details
Main Authors:	Rudra, Amit, Gopalan, Raj, Achuthan, Narasimaha
Other Authors:	José Cordeiro
Format:	Conference Paper
Published:	INSTICC 2012
Subjects:	Data Warehousing Approximate Query Processing Sampling
Online Access:	http://hdl.handle.net/20.500.11937/28648

Similar Items

Picking adequate samples for approximate decision support queries using inverse SRSWOR
by: Rudra, Amit, et al.
Published: (2012)

Selecting adequate samples for approximate decision support queries
by: Rudra, Amit, et al.
Published: (2013)

Estimating Sufficient Sample Sizes for Approximate Decision Support Queries
by: Rudra, Amit, et al.
Published: (2014)

Skyline queries on data with uncertain dimensions for efficient computation
by: Mohd Saad, Nurul Husna
Published: (2018)

Processing skyline queries in centralised and distributed incomplete databases
by: Alwan, Ali Amer
Published: (2013)

Efficient management of Top-k queries over Uncertain Data Streams with dynamic Sliding Window Model
by: Raja Wahab, Raja Azhan Syah
Published: (2024)

ER and EER data mapping approaches for integrating petroleum exploration and production business data entities for effective data mining
by: Nimmagadda, Shastri, et al.
Published: (2005)

Efficient Techniques for Decision Support: Approximate Query Processing to Parallel and Value-Based Data Mining.
by: Rudra, Amit
Published: (2013)

Keyword query processing interface model of ontological natural language manipulation
by: Hasany, Syed Muhammad Noman
Published: (2010)

Dominance relationship-based skyline query framework over dynamic and incomplete database
by: Dehaki, Ghazaleh Babanejad
Published: (2020)

Roles of multidimensionality and granularity in warehousing Australian resources data
by: Rudra, Amit, et al.
Published: (2005)

Mining value-based item packages - An integer programming approach
by: Achuthan, Narasimaha, et al.
Published: (2006)

Mining optimal item packages using mixed integer programming
by: Achuthan, Narasimaha, et al.
Published: (2004)

Data warehousing and mining technologies for adaptability in turbulent resources business environments
by: Nimmagadda, Shastri, et al.
Published: (2011)

Assisted query formulation using normalised word vector and dynamic ontological filtering
by: Dreher, Heinz, et al.
Published: (2006)

Multidimensional Cluster Sampling View on Large Databases for Approximate Query Processing.
by: Inoue, Tomohiro, et al.
Published: (2015)

Warehousing of object oriented petroleum data for knowledge mapping
by: Nimmagadda, Shastri, et al.
Published: (2005)

Compensated convexity methods for approximations and interpolations of sampled functions in Euclidean spaces: theoretical foundations
by: Zhang, Kewei, et al.
Published: (2016)

Projection Based Sampling for More Efficient High Utility Itemset Mining
by: Erwin, Alva, et al.
Published: (2010)

Dynamic programming with approximation function for nurse scheduling
by: Shi, Peng, et al.
Published: (2016)

Approximate Query Processing on High Dimensionality Database Tables Using Multidimensional Cluster Sampling View
by: Inoue, T., et al.
Published: (2016)

A critical analysis of decision support systems research
by: Pervan, Graham, et al.
Published: (2005)

On new emerging concepts of modeling petroleum digital ecosystems by multidimensional data warehousing and mining approaches
by: Nimmagadda, Shastri, et al.
Published: (2010)

Ontology based multidimensional data warehousing and mining of heterogeneous unconventional-reservoir ecosystems
by: Nimmagadda, Shastri, et al.
Published: (2013)

Eight key issues for the decision support systems discipline
by: Arnott, David, et al.
Published: (2008)

Forecasting tourism demand with an improved mixed data sampling model
by: Wen, Long, et al.
Published: (2020)

On robust methodologies for managing public health care systems
by: Nimmagadda, Shastri, et al.
Published: (2014)

Sedimentary Basin - a Petroleum Digital Ecosystem
by: Nimmagadda, Shastri, et al.
Published: (2013)

Interpolation and Approximation of Non Differentiable Function Using Polynomial
by: Koo, Lee Feng
Published: (2007)

Positive linear operators and approximation properties
by: Ayman Mursaleen, Mohammad
Published: (2024)

A descriptive analysis of decision support systems research between 1990 and 2003
by: Pervan, Graham, et al.
Published: (2005)

An integrated approach to enhancing functional annotation of sequences for data analysis of a transcriptome
by: Hindle, Matthew Morritt
Published: (2012)

Ontology based data warehouse modeling and managing ecology of human body for disease and drug prescription management
by: Nimmagadda, Shastri, et al.
Published: (2008)

A Threshold-Based Combination of String and Semantic Similarity Measures for Record Linkage
by: Ektefa, Mohammadreza
Published: (2011)

On strong causal binomial approximation for stochastic processes
by: Dokuchaev, Nikolai
Published: (2014)

Big-data Integration Methodologies for effective management and data mining of petroleum digital ecosystems
by: Nimmagadda, Shastri, et al.
Published: (2013)

What you need to know before implementing a clinical research data warehouse: Comparative review of integrated data repositories in health care institutions
by: Gagalova, Kristina, et al.
Published: (2020)

Parenting style: a case study among students in SMK Seremban 3 / Siti Hajar Noh, Ummi Atifah Mohd Norsah and Nur Aishah Zaharah Mohmad Sujana
by: Noh, Siti Hajar, et al.
Published: (2017)

Data Warehousing for Mining of Heterogeneous Data Sources
by: Nimmagadda, Shastri
Published: (2015)

Design science in decision support systems research: An assessment using the Hevner, March, Park, and Ram guidelines
by: Arnott, D., et al.
Published: (2012)

Cannot write session to /tmp/vufind_sessions/sess_539t6qvc39d969ts1tvb64p564