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Orange: From Experimental Machine Learning to Interactive Data Mining [chapter]

Janez Demšar, Blaž Zupan, Gregor Leban, Tomaz Curk
2004 Lecture Notes in Computer Science  
Orange (www.ailab.si/orange) is a suite for machine learning and data mining.  ...  In the demonstration we will show how to easily prototype stateof-the-art machine learning algorithms through Orange scripting, and design powerful and interactive data exploration applications through  ...  Orange, a Component-Based Framework Orange is a comprehensive, component-based framework for machine learning and data mining.  ... 
doi:10.1007/978-3-540-30116-5_58 fatcat:7oj3sorg3fexhhmch5hxd4qdcy

Conformal Prediction with Orange

Tomaz Hocevar, Blaz Zupan, Jonna Stålring
2021 Journal of Statistical Software  
Conformal predictors estimate the reliability of outcomes made by supervised machine learning models.  ...  The quality of conformal predictions often depends on the choice of nonconformity estimate for a given machine learning method.  ...  Acknowledgments This work was supported by the Slovenian Research Agency (ARRS, grant number P2-0209) and by a research grant from Medivir AB.  ... 
doi:10.18637/jss.v098.i07 fatcat:pvophpp27zdzpk3cmwba4sngpu

Comparing apples to oranges

Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang
2013 Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '13  
In this paper, we address the problem of "comparing apples to oranges" under the large scale setting.  ...  This makes the learned hash codes flexibly cope with the characteristics of different data domains.  ...  In particular, many new methods are developed through leveraging sophisticated machine learning and data mining algorithms to boost up the search efficiency and accuracy.  ... 
doi:10.1145/2487575.2487668 dblp:conf/kdd/OuCWWZY13 fatcat:mga2toqm4najjefvc4pv6gixye

Correlation Review of Classification Algorithm Using Data Mining Tool: WEKA, Rapidminer, Tanagra, Orange and Knime

Amrita Naik, Lilavati Samant
2016 Procedia Computer Science  
This paper conducts a correlation review of classification algorithm using some free available data mining and knowledge discovery tools such as WEKA, Rapid miner, Tanagra, Orange and Knime.  ...  Indian Liver Patient DataSet is used for testing the Classification algorithm in order to classify the people with and without Liver disorder.  ...  Orange: is an open source machine learning and data mining software (written in Python).  ... 
doi:10.1016/j.procs.2016.05.251 fatcat:wo7fishbxjdlrdaaffepqftyxm

JSI Sound - a Machine-Learning Tool in Orange for Simple Biosound Classification

Borut Budna, Martin Gjoreski, Anton Gradisek, Matjaz Gams
2017 International Joint Conference on Artificial Intelligence  
Once the features are extracted, the data is ready to be used with the standard ML widgets implemented in Orange.  ...  We present JSI Sound, one of the first tools of this kind, developed within the Orange data mining software. The input for the tool is a series of labelled recordings.  ...  JSI Sound -Toolkit in Orange Orange is an open-source ML and data mining suite for data analysis through Python scripting and visual programming in Orange Canvas.  ... 
dblp:conf/ijcai/BudnaGGG17 fatcat:yojp4jerknamxpmdltjkk52o44

An alternative approach for the classification of orange varieties based on near infrared spectroscopy

Warawut Suphamitmongkol, Guangli Nie, Rong Liu, Sumaporn Kasemsumran, Yong Shi
2013 Computers and Electronics in Agriculture  
Short-wavelength near infrared (SW-NIR) spectra in region of 643 to 970 nm were collected from 100 orange sample of each varieties.  ...  In order to find simpler and easier interpretable classification model, several feature selection techniques were evaluated to identify the most relevant wavelengths to the orange varieties.  ...  Acknowledgments We would like to thank S. Kasemsumran  ... 
doi:10.1016/j.compag.2012.11.014 fatcat:mreydlw2mrh2vdk22umzgf7oz4

Market basket analysis with association rules in the retail sector using Orange. Case Study: Appliances Sales Company

Marcos Martinez, Belén Escobar, Garcia-Diaz Maria-Elena, Diego P. Pinto-Roa
2021 CLEI Electronic Journal  
In this sense, this work presents the rules of association of products obtained by analyzing the data with the FPGrowth algorithm using the Orange tool.  ...  To achieve this goal, and to obtain clear and efficient strategies, by providing large amounts of data collected in business transactions, the need arises to intelligently analyze such data in order to  ...  Widgets used are from the Orange Visualize package. Orange has several options for viewing analyzed data, as well as helping make it more interactive.  ... 
doi:10.19153/cleiej.24.2.12 fatcat:rswhihemljgevpn6hglrjuvnb4

Comparing Apples and Oranges: Off-Road Pedestrian Detection on the NREC Agricultural Person-Detection Dataset [article]

Zachary Pezzementi, Trenton Tabor, Peiyun Hu, Jonathan K. Chang, Deva Ramanan, Carl Wellington, Benzun P. Wisely Babu, Herman Herman
2017 arXiv   pre-print
It consists of labeled stereo video of people in orange and apple orchards taken from two perception platforms (a tractor and a pickup truck), along with vehicle position data from RTK GPS.  ...  of distances; meta-data are included to allow targeted evaluation of each of these effects.  ...  The authors would like to thank John Deere for the use of the autonomous tractor used to collect data for this paper and Southern Gardens Citrus and Soergels Orchards for the use of their field sites.  ... 
arXiv:1707.07169v2 fatcat:arggzybryfdeljhxed7o4oztme

Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey [article]

Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
2022 arXiv   pre-print
Also, this survey provides some ideas for future research to enhance the capabilities of FCM in order to cover some challenges in the real-world experiments such as handling non-stationary data and scalability  ...  Moreover, equipping FCMs with fast learning algorithms is one of the major concerns in this area.  ...  In the proposal method, RCGA is applied as an input data mining algorithm while the NHL is used for optimal weight refining.  ... 
arXiv:2201.02297v2 fatcat:iol7blvfhbaq3agviebokldo7y

Machine Learning Application for Prediction of Sapphire Crystals Defects

Yulia Vladimirovna Klunnikova, Maxim Vladimirovich Anikeev, Alexey Vladimirovich Filimonov, Ravi Kumar
2020 Journal of Electronic Science and Technology  
AbstractWe investigate the impact of different numbers of positive and negative examples on machine learning for sapphire crystals defects prediction.  ...  For example, these models allow predicting the defects that occur due to local overcooling of crucible walls in the thermal node leading to the accelerated crystal growth.  ...  In this paper, we use the Orange Canvas framework for defects prediction in sapphire crystals. Orange Canvas is a comprehensive, component-based framework for machine learning and data mining.  ... 
doi:10.1016/j.jnlest.2020.100029 fatcat:r4hdgt4kfnetvpyw34wrmbjemm

Advanced Coherent System For Predicting Cardiac Risks using Data Mining Techniques

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Considering health care and medical industry related data there are millions or tons of data which contains numerous hidden information.  ...  This information can be mined through which we can make effective decisions in their related industry.  ...  Weka Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code.  ... 
doi:10.35940/ijitee.k2526.0981119 fatcat:du4u5isslvg7xcckain6mdjldu

Open-Source Tools for Data Mining

Blaz Zupan, Janez Demsar
2008 Clinics in Laboratory Medicine  
Although the term data mining was coined in the mid-1990s [1], statistics, machine learning, data visualization, and knowledge engineeringdresearch fields that contribute their methods to data miningdwere  ...  visualization tools for exploratory data mining, anddfor those with some programming backgrounddthe flexibility of crafting new ways to analyze the data and adapting algorithms fit to the particular needs  ...  Much of the experimental verification of these programs was performed on data sets from medicine, including those related to cancer diagnosis and prediction (see UCI Machine Learning Repository [5] ).  ... 
doi:10.1016/j.cll.2007.10.002 pmid:18194717 fatcat:6x4ad7dr5zg63azyrnznnkkp7m

Conformal prediction and its integration within visual analytics toolbox

Tomaz Hocevar, Blaz Zupan
2021 International Symposium on Conformal and Probabilistic Prediction with Applications  
Conformal prediction is a machine learning approach to report on the reliability of predictive models when applied to new cases.  ...  In machine learning, a significant subset of such toolboxes is those that use workflows and visual programming.  ...  Acknowledgments This work was supported by the Slovenian Research Agency (ARRS, grant number P2-0209) and by a research grant from Medivir AB.  ... 
dblp:conf/copa/HocevarZ21 fatcat:fro7nzlrardzja7nf7cksw6d7m

The Role of Business Intelligence in Promoting Decision-Making in Humanitarian Organizations Operating in Turkey, Orange Organization as a Sample

Hany Aldaher, Ömer Faruk İŞCAN
2022 Global Journal of Economics and Business  
The number of community members surveyed as a whole was (105) and represent the number of employees in the orange organization for this, data were collected and analyzed, and hypotheses were tested using  ...  In this study, the non-experimental quantitative descriptive research method was preferred, which is one of the types of scientific research suitable for the aim of the current research.  ...  To experiment the research propositions, 225 workable replies including 37 items were inspected using structural equation modelling (SEM) and a Machine Learning technique.  ... 
doi:10.31559/gjeb2022.12.3.7 fatcat:tachqy2kmfd6ron5m4f3vd2u4q

A Comprehensive Analysis of Proprietary and Open Source Data Mining Tools

Sonia Rani Chowdhary, Mr Vikash
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Analysis of these tools makes easy to select appropriate tool.  ...  (c) technical analysis of proprietary and open source data mining tools.  ...  balance es data set from UCI Machine Learning Repository database.  ... 
doi:10.32628/cseit206210 fatcat:463k5b47q5h6fkq4p6abeqx2oa
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