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Query Co-Processing on Commodity Hardware

A. Ailamaki, N.K. Govindaraju, D. Manocha
2006 22nd International Conference on Data Engineering (ICDE'06)  
We describe how many of the essential computational components for database and data mining algorithms such as relational database operations, stream data mining, linear algebra and sorting operations  ...  The rapid increase in the data volumes for the past few decades has intensified the need for high processing power for database and data mining applications.  ...  We describe how many of the essential computational components for database and data mining algorithms such as relational database operations, stream data mining, linear algebra and sorting operations  ... 
doi:10.1109/icde.2006.122 dblp:conf/icde/AilamakiGM06 fatcat:x3rdgytg3fcwlgld6ctgc32vxu

Accelerating Itemset Sampling using Satisfiability Constraints on FPGA

Mael Gueguen, Olivier Sentieys, Alexandre Termier
2019 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)  
This requires to use pattern mining techniques. However, pattern mining suffers from two issues.  ...  We show that our accelerator can outperform a state-of-the-art implementation on a server class CPU using a modest FPGA product.  ...  An accelerator with a fixed value N can process any database with an alphabet of size less or equal to N .  ... 
doi:10.23919/date.2019.8714932 dblp:conf/date/GueguenST19 fatcat:z65cdjif4jarjjyyxbvbqcnkry

Web Mining Accelerated with In-Memory and Column Store Technology [chapter]

Patrick Hennig, Philipp Berger, Christoph Meinel
2013 Lecture Notes in Computer Science  
For a seamless application interaction, those approaches have to use pre-aggregated results and indexes to circumvent the slow processing on their data stores e.g. relational databases or document stores  ...  Current web mining approaches use massive amounts of commodity hardware and processing time to leverage analytics for today's web.  ...  Related Work The related approaches to speed up the store and analytical components of web mining application roughly consists of three areas.  ... 
doi:10.1007/978-3-642-53914-5_18 fatcat:5a6hzpdbevgrrefue55oxrmlrm

Can we analyze big data inside a DBMS?

Carlos Ordonez
2013 Proceedings of the sixteenth international workshop on Data warehousing and OLAP - DOLAP '13  
Relational DBMSs remain the main data management technology, despite the big data analytics and no-SQL waves.  ...  In this survey, we argue that is not the case, explaining important research that has enabled analytics on large databases inside a DBMS.  ...  Data mining is concerned with knowledge discovery, represented by models and patterns in large databases.  ... 
doi:10.1145/2513190.2513198 dblp:conf/dolap/Ordonez13 fatcat:ejuvzywvqrd5jig6bfcmixc66m

Underground Geological Database Management System for Mapping Process Improvement, Case Study of Deep Ore Zone (DOZ) Mine, PT Freeport Indonesia

Harman Setyadi, LilikEko Widodo, Heri Setiono, Lasito Soebari
2013 Procedia Earth and Planetary Science  
This project was initiated in 2007 using the commercial database management software.  ...  This may subsequently be used in order to improve all processes including mine planning, production scheduler, draw order, mud rush potential anticipation and mud rush mitigation.  ...  ACKNOWLEDGEMENTS Thank you for PT Freeport Indonesia Management, especially the Geo Service Division which gives an opportunity to present and publish the Underground Geological Database.  ... 
doi:10.1016/j.proeps.2013.01.010 fatcat:w3aq7n5rhrh6dhk2iizuotlgha

Complex Event Processing approach to automated monitoring of a particle accelerator and its control system

Grzegorczyk Karol, Baggiolini Vito, Zielinski Krzysztof
2014 Computer Science  
A Complex Event Processing (CEP) approach to event processing was selected. The main advantage of this approach is the ability to continuously query data coming from several streams.  ...  The complex includes the Large Hadron Collider, the world's most powerful accelerator.  ...  Integration with the database is done using Splunk's streaming scripted input.  ... 
doi:10.7494/csci.2014.15.4.351 fatcat:eljx2zdu7fa7ba22ziwfkanpgq

Data mining algorithms as a service in the cloud exploiting relational database systems

Carlos Ordonez, Javier García-García, Carlos Garcia-Alvarado, Wellington Cabrera, Veerabhadran Baladandayuthapani, Mohammed S. Quraishi
2013 Proceedings of the 2013 international conference on Management of data - SIGMOD '13  
The system offers three processing modes: local, cloud and hybrid, where a linear cost model is used to choose processing mode.  ...  the client database.  ...  Analyzing large databases remains one of the most important challenges, where data mining comes into play. However, in practice, data mining is commonly processed outside c ACM, 2013 .  ... 
doi:10.1145/2463676.2465240 dblp:conf/sigmod/OrdonezGGCBQ13 fatcat:nahqsy6qdbgazj3ee5et427bgm

Intelligent Data Mining of Computer-Aided Extension Residential Building Design Based on Algorithm Library

Gao Zhihui, Zou Guangtian, Wei Wang
2021 Complexity  
Therefore, the author uses computer mathematical algorithm and extension theory to study and analyze the residential building design and intelligent data mining.  ...  It includes knowledge representation, system outline design, system flow, and interface expression based on the mathematical database.  ...  Using the data mining method designed by extension architecture, potential useful knowledge related to conflict resolution can be found from dynamic, huge, and complex data.  ... 
doi:10.1155/2021/6690746 fatcat:76hpqomoonbbnjeiz5pcdodvvy

Data Mining: Approach Towards The Accuracy Using "Teradata"!

Shubhangi Pharande, Simantini Nalawade, Ajay Nalawade
2014 International Journal of Computer Applications Technology and Research  
Hence, due to this increasing necessity data mining started its development. The process reveals hidden patterns that can't be detected using traditional query and OLAP tools.  ...  Data mining refers to the process or method that extracts or mines interesting knowledge or patterns from large amounts of data.  ...  Smita Chavan, Associate Director of NBNSSOCS for encouraging us to write the paper and for their expert guidance.  ... 
doi:10.7753/ijcatr0305.1006 fatcat:wxom2rt3rvaoje6vgzu63rwajm

Research on Improved Distributed Association Rules Mining Algorithm in Hadoop Cloud Platform

Fenghua Liu
2015 Open Automation and Control Systems Journal  
In this paper, data mining of association rules, data mining of association rules on distributed databases and distributed encrpytion techniques are introduced.  ...  Secondly, existing algorithms of data mining of association rules on distributed databases are analyzed in detail, and then they are improved on aspects of efficiency and security, whereafter the algorithm  ...  RELATED WORKS Data mining is an important area in KDD, and mining association rules in large databases is a critical aspect of data mining researches.  ... 
doi:10.2174/1874444301507012273 fatcat:bn462dxrqfdc5jairwsk3iagzy

A new method to identify impending failure in rock slopes

Tommaso Carlà, Emanuele Intrieri, Paolo Farina, Nicola Casagli
2017 International Journal of Rock Mechanics And Mining Sciences  
creep theory, is the most common tool used to predict the time of failure of progressively accelerating slopes.  ...  Testing should be performed using measurements acquired by the same type of monitoring device and processed with the same technique, with particular reference to the data filtering applied to remove the  ... 
doi:10.1016/j.ijrmms.2017.01.015 fatcat:blzcsvlhjfhm5gg36xg5afydyy

Database systems research on data mining

Carlos Ordonez, Javier García-García
2010 Proceedings of the 2010 international conference on Management of data - SIGMOD '10  
Data mining remains an important research area in database systems.  ...  We present a review of processing alternatives, storage mechanisms, algorithms, data structures and optimizations that enable data mining on large data sets.  ...  Column stores can accelerate data mining, especially for high dimensional models. From the mathematical side, the list is extensive.  ... 
doi:10.1145/1807167.1807335 dblp:conf/sigmod/OrdonezG10 fatcat:ppgnhhnzorhkpbrpqz7etrz6j4

The Application of Data Mining Technology in Data Service of Micro Service Architecture

Kun Liu, Hanjing Liu, Xiaohan Ding
2017 DEStech Transactions on Social Science Education and Human Science  
Data mining technology can be used in enterprise customer service system, which can help enterprises to find potential customers, while retaining the most valuable customers.  ...  We pointed out the necessity of establishing data mining technology and service intelligence analysis system based on the combination of intelligence analysis and service characteristics and processes,  ...  Data mining process.  ... 
doi:10.12783/dtssehs/ssme2017/12987 fatcat:pg4z3te3wjfq7liqno7p2iwrzu

A weighted load-balancing parallel Apriori algorithm for association rule mining

Kun-Ming Yu, Jia-Ling Zhou
2008 2008 IEEE International Conference on Granular Computing  
Parallel computing is an effective strategy for accelerating the mining process. In this paper, the Weighted Distributed Parallel Apriori algorithm (WDPA) is presented as a solution to this problem.  ...  The Apriori algorithm is the most popular technique in association rules mining; however, when applying this method, a database has to be scanned many times and many candidate itemsets are generated.  ...  up the mining process.  ... 
doi:10.1109/grc.2008.4664768 dblp:conf/grc/YuZ08 fatcat:4nhmww3efrdodiae2qiwz2a2f4

DETERMINATION OF RELATIONAL CLASSIFICATION AMONG HULL FORM PARAMETERS AND SHIP MOTIONS PERFORMANCE FOR A SET OF SMALL VESSELS

Ayla Sayli, Ahmet Dursun Alkan, Merve Aydin
2016 Brodogradnja  
functions of heave and pitch motions and of absolute vertical acceleration, by our in-house software application based on K-Means algorithm from data mining.  ...  This application is implemented in the C# programming language on Microsoft SQL Server database. We also use the Elbow method to estimate the true number of clusters for K-Means algorithm.  ...  Determination of relational classification among hull form parameters Ayla Sayli and ship motions performance for a set of small vessels Ahmet Dursun Alkan, Merve Aydın  ... 
doi:10.21278/brod67401 fatcat:3foconesurhyjilvwziltocd7m
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