approximate aggregate query processing olap

Approximate Query Processing Using Wavelets in …

Analysis of the existing techniques for approximate query processing of Big Data, based on sampling, histograms and wavelets, demonstrates that wavelet-bas Approximate Query Processing Using Wavelets in OLAP with Arbitrarily Sized Data and Bounded Errors - IEEE Conference Publication

Improving range-sum query evaluation on data cubes …

Improving range-sum query evaluation on data cubes via polynomial approximation. ... method for supporting approximate aggregate query answering in OLAP, which represents the most common application interfaces for a DWS. Our technique consists in building data synopses by interpreting the original data distributions as a set of discrete ...

OLAP -

This paper is the result of a study on Online Analytical Processing(OLAP), it studies the relational meth-ods that can improve the system performance of OLAP. Finally according to the respective strengths and weaknessesof ROLAP and MOLAP, it provides a ...

Compressed data cubes for OLAP aggregate query ...

Compressed data cubes for OLAP aggregate query approximation on continuous dimensions. Full Text: Get this Article: ... Ezio Lefons, Filippo Tangorra, Accuracy estimation in approximate query processing, Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference, p.452-458, July 23-25 ...

Efficient Approximate OLAP Querying Over Time Series

2019-1-31 · query materialization for certain data types, makes it a viable ap-proach for efficient OLAP querying. To support this claim, we present an approach for approximate query processing on time se-ries data. Our solution provides benefits of the original concept like constant low query latency and no need for maintenance. In

Dynamic Sample Selection for Approximate Query …

2007-10-15 · produce the most accurate approximate query answer. In this paper, we introduce a general system architecture for approximate query processing that is based on a tech-nique that we call dynamic sample selection. The basic idea is to construct during the pre-processing phase a large num-ber of differently biased samples, and then, for each query

approximate query processing

2016-3-6 · Adaptivity via Load Shedding Approximate Query processing in Streams (cont.) For each query qi, there is a corresponding path in the data flow diagram from some data stream Sj through a set of query operatorsOi1,Oi2, . . ., Oip to node qi.

Evaluation of Top-k OLAP Queries Using Aggregate R–trees

2005-8-3 · ward method to evaluate a top-k OLAP query is to compute the aggregate value for each group and then select the groups with the highest aggregates. In this paper, we study the integration of the top-k operator with the aggregate query processing …

System Architecture for Approximate Query Processing

System Architecture for Approximate Query Processing ... approximate query processing, OLAP, ... The main step is devoted to perform the computations of the aggregate functions in approximate way ...

When Should Approximate Query Processing Be …

2016-2-25 · When Should Approximate Query Processing Be Used? Thursday, February 25, 2016 at 7:19AM This is a guest repost by Barzan Mozafari, an assistant professor at University of Michigan and an advisor to a new startup, snappydata.io, that recently launched an open source OLTP + OLAP Database built on Spark.

Approximate Aggregate Query Processing: Olap

2005-11-18 · Approximate Aggregate Query Processing: Olap Stefania Marrara Politecnico di Milano [email protected] 2 Outline • Intro & Approximate Query Answering Overview – Synopses • One-Dimensional Synopses – Histograms, Samples, Wavelets • Multi-Dimensional Synopses and Joins – Multi-D Histograms, Join synopses, Wavelets • Discussion ...

Approximate Query Processing Using Wavelets

2018-1-4 · lational tables. Second, using novel query processing algo-rithms, standard (aggregate and non-aggregate) SQL oper-ators are applied directly over the wavelet-coefficient syn-opses of the data to obtain fast and accurate approximate query answers. The crucial observation here is that, as we demonstrate in this work, our approximate query execution

Multi-granularity Temporal and Spatial Approximate ...

Multi-granularity Temporal and Spatial Approximate Aggregate Query on RFID Data Warehouse ... query, processing, etc. of sensor data, such as RFID, is becoming more and more popular. In this paper, with the thoughts of temporal and spatial dimensions in ...

SnappyData : Streaming Processing,OLTP ...

2018-6-3 · SnappyDataStream ProcessingSpark Streaming,SnappyDataStream ProcessingOLAP,columnar formats, approximate query processing, and co-partitioning。 SnappyData SnappyData

CiteSeerX — Citation Query Approximate …

Abstract. Approximate query processing has emerged as a cost-effective approach for dealing with the huge data volumes and stringent response-time requirements of today's decision support systems (DSS). Most work in this area, however, has so far been limited in its query processing scope, typically focusing on specific forms of aggregate ...

Answering approximate range aggregate queries on …

However, previous work only focused on the choice of the outliers and did not address the important issue as how to organize those outliers to support efficient approximate query processing. In this paper we address the issue of providing fast approximate answers to range queries on OLAP data cubes.

"C"Pair CopulaOLAP

2019-9-27 · :,OLAP。"C"Pair CopulaOLAP,OLAP"", ...

Compressed Data Cubes for OLAP Aggregate Query ...

It was not until the time we proposed a new wavelet technique, ProPolyne, for fast exact, approximate, or progressive polynomial aggregate query processing that data did not have to be compressed ...

Compressed Data Cubes for OLAP Aggregate Query ...

2016-5-21 · OLAP, data cubes, clustering, density estimation, approximate query answering, data mining. 1. INTRODUCTION There has been much work on answering multi-dimensional aggregate queries efficiently, for example the data cube operator [13]. OLAP systems perform queries fast by pre-computing all or part of the data cube [15].

Approximate Query Processing Using Wavelets in …

Analysis of the existing techniques for approximate query processing of Big Data, based on sampling, histograms and wavelets, demonstrates that wavelet-bas Approximate Query Processing Using Wavelets in OLAP with Arbitrarily Sized Data and Bounded Errors - IEEE Conference Publication

Approximate OLAP Query Processing over Uncertain …

Abstract. Anovel framework for estimating OLAP queries over uncertain and imprecise multidimensional data streams is introduced and experimentally assessed in this paper. We complete our theoretical contributions by means of an innovative approach for providing theoretically-founded estimates to OLAP queries over uncertain and imprecise multidimensional data streams that exploits the well ...

Approximate Query Processing in Decision Support …

2006-9-30 · Key-Words: - Aggregate queries, Approximate query answering, Data warehouses, Multidimensional data distribution, OLAP applications. 1 Introduction Approximate query processing is an investigation area of increasing interest. Classically, the database community was interested in the description of data

Providing Probabilistically-Bounded Approximate …

2005-9-30 · Providing Probabilistically-Bounded Approximate Answers to Non-Holistic Aggregate Range Queries in OLAP Alfredo Cuzzocrea DEIS Dept., University of Calabria Via P. Bucci, 41C 87036 Cosenza, Italy [email protected] ABSTRACT A novel framework for providing probabilistically-bounded approximate answers to non-holistic aggregate range ...

Event-based lossy compression for effective and efficient ...

2012-11-16 · Basically, data stream query processing poses novel previously-unrecognizedre- search challenges maketraditional DBMS technology (e.g., RDBMS) inadequate un-bounded nature datastreams. fact,while information stored relationaldatabases high-detailed fine

Compressed Data Cubes for OLAP Aggregate Query ...

It was not until the time we proposed a new wavelet technique, ProPolyne, for fast exact, approximate, or progressive polynomial aggregate query processing that data did not have to be compressed ...