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A hybrid PSO/ACO algorithm for classification

Nicholas Paul Holden, Alex A. Freitas
2007 Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07  
PSO/ACO2 is evaluated with two different rule quality (particle "fitness") functions. We show that the choice of rule quality measure greatly effects the end performance of PSO/ACO2.  ...  The design of this hybrid algorithm was motivated by the fact that nominal attributes are common in data mining, but the algorithm can in principle be applied to other kinds of problems involving nominal  ...  We noticed that in some cases the use of Precision as a rule quality measure would lead to rules covering very few examples.  ... 
doi:10.1145/1274000.1274080 dblp:conf/gecco/HoldenF07 fatcat:36v3d6xhxrf7fglot2xgblqtfi

Measurement of the Quality of an FCO-IM Conceptual Data Model

Fazat Nur Azizah, Guido P. Bakema, Benhard Sitohang, Oerip S. Santoso
2010 International Journal on Electrical Engineering and Informatics  
The measurement method is based on the framework to measure the quality of conceptual model by Lindland et al.  ...  The method contributes in data modeling area by providing a quantitative and instructive way of measuring the quality of conceptual data models, especially in FCO-IM.  ...  The measurement of the quality of conceptual data model is based on the work by Lindland et al. [14] .  ... 
doi:10.15676/ijeei.2010.2.4.7 fatcat:mtfyd5avqzcpjjgrzc5skr3osi

Decision Tree-Based Data Mining and Rule Induction for Identifying High Quality Groundwater Zones to Water Supply Management: a Novel Hybrid Use of Data Mining and GIS

Mehrdad Jeihouni, Ara Toomanian, Ali Mansourian
2019 Water resources management  
The RF showed the highest performance (accuracy of 97.10%) among its counterparts; and so the generated map based on rules inducted from RF is more reliable.  ...  The RF and ODT methods are more suitable in the case of continuous dataset and can be applied for rule induction to determine water quality with higher accuracy compared to other tested algorithms.  ...  The mentioned capability of data mining and rule induction in classification of water quality has not been addressed in any research as of yet.  ... 
doi:10.1007/s11269-019-02447-w fatcat:nnxcvygphfhchci6liifche3bi

Correlation Associative Rule Induction Algorithm Using ACO

C. Nalini
2016 Circuits and Systems  
Analyze the mixed attribute data set is not easy. Hence, the proposed work uses cosine measure to avoid the influence of null transactions during rule generation.  ...  It is important to consider the null invariance property when selecting appropriate interesting measures in the correlation analysis. Real time data set has mixed attributes.  ...  t, Q is the quality of the rule constructed.  ... 
doi:10.4236/cs.2016.710244 fatcat:lzpyxzdw5ve3zi6cacz7je63pq

Rule Based Novel Method for Self Healing Attack Revelation for Smart Grids

2020 International Journal of Engineering and Advanced Technology  
of the strong nonlinear representation data through the root is added to the sensor measurements based on quality parameters by a clever attacker.  ...  In this paper, we introduce a new idea for the rebuilding of measuring sensor data collected from the power grid, eliminating the impact of the attack on the integrity of confidential data.  ...  of the strong nonlinear representation data through the root is added to the sensor measurements based on quality parameters by a clever attacker.  ... 
doi:10.35940/ijeat.d7829.049420 fatcat:5fwgyd2zczgmzlglbax5liamkm

Systematic Development of Data Mining-Based Data Quality Tools [chapter]

Dominik Luebbers, Udo Grimmer, Matthias Jarke
2003 Proceedings 2003 VLDB Conference  
However, as the quality of the analyzed database is a-priori unknown, the design of data auditing environments requires special methods for the calibration of error measurements based on the induced schema  ...  Validation in the partial quality audit of a large service-related database at Daimler-Chrysler shows the usefulness of the approach as a complement to standard data scrubbing.  ...  Data Auditing We define data auditing as the application of data mining-algorithms for measuring and (possibly interactive) improving of data quality.  ... 
doi:10.1016/b978-012722442-8/50055-0 dblp:conf/vldb/LubbersGJ03 fatcat:635fiqyedjfzzcmhb4ssot67bu

Robust subgroup discovery [article]

Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
2022 arXiv   pre-print
Furthermore, we empirically show on 54 datasets that SSD++ outperforms previous subgroup discovery methods in terms of quality, generalisation on unseen data, and subgroup list size.  ...  First, we formulate the broad model class of subgroup lists, i.e., ordered sets of subgroups, for univariate and multivariate targets that can consist of nominal or numeric variables, including traditional  ...  Acknowledgements This work is part of the research programme Indo-Dutch Joint Research Programme for ICT 2014 with project number 629.002.201, SAPPAO, which is (partly) financed by the Netherlands Organisation  ... 
arXiv:2103.13686v3 fatcat:oby74jai7nc7hipe3wktvmtwzi

Feedback strategy for closed-loop inspection based on STEP-NC

Cristhian I. Riaño, Alberto J. Álvares
2018 Journal of Physics, Conference Series  
The demands of quality and the requirement of parts with complex specifications propose new challenges, such as the incorporation of integration and interoperability concepts in measurement operations.  ...  Exchange of Product model data -Numerical Control).  ...  Validation + - 1 2 3 4 QIF -Plans QIF -Rules QIF -Resources QIF -MBD Inspection Data Measurement Plan CAD model nominal QIF-Results QIF-Statistics Measurement Execution Tolerance  ... 
doi:10.1088/1742-6596/1065/8/082014 fatcat:a7g4bkekwrdqdmwq36elbemop4

Handling continuous attributes in Ant Colony Classification algorithms

Fernando E. B. Otero, Alex A. Freitas, Colin G. Johnson
2009 2009 IEEE Symposium on Computational Intelligence and Data Mining  
The majority of Ant Colony Optimisation (ACO) classification algorithms have the limitation of only being able to cope with nominal attributes directly.  ...  Empirical evaluation on eight publicly available data sets shows that the proposed methods facilitate the discovery of more accurate classification models.  ...  Finally, pheromone trails are updated using the best rule, based on a quality measure Q, created by ants.  ... 
doi:10.1109/cidm.2009.4938653 dblp:conf/cidm/OteroFJ09 fatcat:f3vi6z4kznf5vhulnm7mjg56om

Point Distribution as True Quality of LiDAR Point Cloud

Sergejs Kodors
2017 Baltic Journal of Modern Computing  
However, the true quality of LiDAR point cloud is based on point distribution.  ...  The goal of this study is to define the mathematical model how to measure quality of LiDAR point cloud.  ...  Acknowledgements The publication is developed within scientific collaboration program of Rezekne academy of Technologies and State Land Service of Latvia.  ... 
doi:10.22364/bjmc.2017.5.4.03 fatcat:6ndyb6aho5chrn5slvc3f46xpu

Association Rule Classification based on Multi-Dimensional Data Cubes

Kavitha K.
2016 International Journal Of Engineering And Computer Science  
Data mining facilitates the discovery of unrevealed trends from huge datasets. Data warehouse is a key technology for complex data analysis automatic knowledge extraction and decision making.  ...  Detecting the hidden association between the items are limited in OLAP. Researchers have proposed many ideas to reduce the limitations.  ...  Data cube structure describes relations at the lowest abstraction level. Interesting measure used to dimension the certain problems of confident while measuring the quality of rules.  ... 
doi:10.18535/ijecs/v5i2.12 fatcat:fzhtj7v4p5hntptkkunozz3qxy

Voltage Stability Of South Sulawesi Power System Using Fuzzy Logic Method Based On The Linguistic Variable

Sugianto, Syarifuddin Nojeng, Yustinus Upa Sombolayuk
2019 Journal of Southwest Jiaotong University  
Application of fuzzy logic stabilizer in the 46 bus electricity system of South Sulawesi will increase the quality of bus voltage from an average of 0.08% to 0.5% of the nominal voltage.  ...  The method can easily carry out appropriate control measures in accordance with human thinking and acting.  ...  ACKNOWLEDGMENT The authors would like to thank the Chancellor and Head of the Engineering Faculty of the Indonesian Muslim University, for all the financial assistance and support in their research.  ... 
doi:10.35741/issn.0258-2724.54.6.17 fatcat:a3h4crpb2fehbnrnjpzszoxy6e

Optimized Fuzzy Logic Based Framework for Effort Estimation in Software Development [article]

Vishal Sharma, Harsh Kumar Verma
2010 arXiv   pre-print
with the availability of new data.  ...  The traditional cost estimation model COCOMO is extended in the proposed study by incorporating the concept of fuzziness into the measurements of size, mode of development for projects and the cost drivers  ...  it measures the prediction quality of the proposed framework against the actual real life data of software development projects.  ... 
arXiv:1004.3270v1 fatcat:7btf2uii75ebdfglzutqpu7oue


2014 Journal of Computer Science  
These rules can be used to understand the etiology of diseases and classify patients based on recorded characteristics.  ...  Uncovering useful knowledge and assisting decision makers in the diagnosis and treatment of diseases from this vast data has become imperative.  ...  Sort rules in RSlocal by descending Quality If Quality(RSlocal)>Quality(RSglobal) then RSglobal=RSlocal Return RSglobal Nominal attributes are handled by the AlgoInner: Initialise individuals in  ... 
doi:10.3844/jcssp.2014.585.592 fatcat:7pghmffyvralrnnkwafgnx2mb4

Discovering Unordered Rule Sets for Mixed Variables Using an Ant-Miner Algorithm

C. Nalini, P. Balasubramanie
2008 Data Science Journal  
knowledge of the previous rules in the list.  ...  The objective of this work is to apply ACO heuristic techniques to discover unordered rule sets for mixed variables in a data set.  ...  However, in the unordered rule set continuous Ant-Miner, we measure the quality of the rule based on the rule confidence value.  ... 
doi:10.2481/dsj.7.76 fatcat:his5krtxnzf3xjyo4sycxzidnq
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