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Extensions to the Ant-Miner Classification Rule Discovery Algorithm [chapter]

Khalid M. Salama, Ashraf M. Abdelbar
2010 Lecture Notes in Computer Science  
Dorigo and colleagues [8 -9] as a meta-heuristic for solving combinatorial optimization problems. Ant-Miner is an application of ACO in data mining.  ...  Each term is in the form of , where value belongs to the domain of attribute. Ant-Miner has proved to be a very promising technique for classification rules discovery.  ...  Artificial Ants The binary bridge experiments show that ant colonies exhibit a collective behavior that is able to solve optimization problems.  ... 
doi:10.1007/978-3-642-15461-4_15 fatcat:wawz77g5jjcudp4l5v4gfzzpuy

An Analysis on Qualitative Bankruptcy Prediction Rules using Ant-Miner

A. Martin, T. Miranda Lakshmi, V. Prasanna Venkatesan
2013 International Journal of Intelligent Systems and Applications  
Ant-Miner algorith m is a application of ant colony optimization and data mining concepts. Qualitative rules generated by ant miner algorith m are validated using measure of agreement.  ...  Qualitative bankruptcy prediction rules represent experts' problem-solving knowledge to predict qualitative bankruptcy.  ...  A research on new classification-ru le pruning p rocedure for an ant colony algorith m proposes a new ru le p runing procedure for Ant-Miner.  ... 
doi:10.5815/ijisa.2014.01.05 fatcat:wfolk3xtefafzbilf2lv3fzvpy

Wise mining method through ant colony optimization

Yang Jianxiong, Junzo Watada
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
The goal of Pheromone-Miner is to extract more exact knowledge from a database. Pheromone-based mining breaks through limitations of other mining approaches.  ...  This paper proposes an algorithm for data mining named Pheromone-Miner (ant-colony-based data miner).  ...  Each of these tasks is regarded as a kind of problem which can be solved by a data mining algorithm.  ... 
doi:10.1109/icsmc.2009.5346807 dblp:conf/smc/YangW09 fatcat:orbya6dxtjfbzjonqtzb6fwrpi

Data mining with an ant colony optimization algorithm

R.S. Parpinelli, H.S. Lopes, A.A. Freitas
2002 IEEE Transactions on Evolutionary Computation  
This work proposes an algorithm for data mining called Ant-Miner (Ant Colony-based Data Miner). The goal of Ant-Miner is to extract classification rules from data.  ...  The results provide evidence that: (a) Ant-Miner is competitive with CN2 with respect to predictive accuracy; and (b) The rule lists discovered by Ant-Miner are considerably simpler (smaller) than those  ...  ACKNOWLEDGEMENTS Authors would like to thank Dr. Marco Dorigo and the anonymous reviewers of this paper for their useful comments and suggestions.  ... 
doi:10.1109/tevc.2002.802452 fatcat:yxrqzgsp3re7tibmodkq7od3tm

An Improved Model of Ant Colony Optimization Using a Novel Pheromone Update Strategy

2013 IEICE transactions on information and systems  
The paper introduces a novel pheromone update strategy to improve the functionality of ant colony optimization algorithms.  ...  To work on these challenging problems we considered two ACO algorithms of ACS (Ant Colony System) and AntMiner 3.0 and modified their pheromone update strategy.  ...  General Ant Colony Optimization Approach As a general optimization method, ant colony optimization can be applied to solve an extensive category of optimization problems.  ... 
doi:10.1587/transinf.e96.d.2309 fatcat:raqgxh2byrdkbouywg4umsn3cm

Enhanced cAntMinerPB Algorithm for Induction of Classification Rules using Ant Colony Approach

Safeya Rajpiplawala, Dheeraj Kumar Singh
2014 IOSR Journal of Computer Engineering  
Ant-Miner is a rule induction algorithm that uses SI techniques to form rules.  ...  Overview of Dorigo and Maniezzeo experiment [3] Further Parpinelli, Lopes and his associates were the first to propose Ant Colony Optimization (ACO) for learning classification rules, called Ant-Miner.  ...  It provides a specialized data mining layer to support the application of ACO to classification problems, including the implementation of Ant-Miner and cAntMiner algorithms.  ... 
doi:10.9790/0661-16326372 fatcat:g7hs3opkkrc3dofra6j6anpyde

Clonal Colonies [chapter]

2014 Morphodynamics  
Sessile animals faced similar problems when their evolutionary paths ventured into new habitats, such as soft bottoms or the open sea, where they surprisingly "discovered" the same tricks to solve similar  ...  My introduction to the power of Dolf's morphodynamic approach came later as the result of a visit to a local gem, mineral and fossil show ("fossil fair" as he liked to call them).  ...  9 ■Candlewax shells o er a morphogenetic paradigm for marginal growth. Photo: A. S .  ... 
doi:10.1201/b17557-34 fatcat:anla4femv5dkzbemrurwfro3me

Association rule mining through the ant colony system for National Health Insurance Research Database in Taiwan

R.J. Kuo, C.W. Shih
2007 Computers and Mathematics with Applications  
The ant colony system (ACS) is one of the newest meta-heuristics for combinatorial optimization problems, and this study uses the ant colony system to mine a large database to find the association rules  ...  Therefore, this study proposes a novel approach of applying the ant colony system for extracting the association rules from the database.  ...  Dorigo and Gambardella [10] presented a method to improve the ant system, called Ant Colony System. The current development of ant algorithms can solve many kinds of optimal problems.  ... 
doi:10.1016/j.camwa.2006.03.043 fatcat:itdpxe6phvdwrntczw2zintj3a

Colonial Caring: A History of Colonial and Post-Colonial Nursing

Helen Sweet, Sue Hawkins
2017 Nursing History Review  
Objecting to Hughes's rigid administrative approach, which pre-empted collaborative information-sharing and problem-solving, Stanley complained, 'Elizabeth takes over the Nursing Situation en force − this  ...  plans for the colony.  ...  , to help restore his sense of self-respect and integrity and to restore his faith in love and good-will through a practical demonstration of human sympathy and brotherhood.  ... 
doi:10.1891/1062-8061.25.1.170 fatcat:hmlzmn3u4zftffay7y7bckvatq

Mining association rules through integration of clustering analysis and ant colony system for health insurance database in Taiwan

2007 Expert systems with applications  
The first stage employs the ant system-based clustering algorithm (ASCA) and ant K-means (AK) to cluster the database, while the ant colony system-based association rules mining algorithm is applied to  ...  Therefore, this study intends to propose a novel framework of data mining which clusters the data first and then followed by association rules mining.  ...  It uses differently favorable ants to solve the clustering problem. 2.  ... 
doi:10.1016/j.eswa.2006.08.035 fatcat:6mb3bvpsyvfdbhhais4knobmoe

Scientific Impact of Sports on Human Health and Physique Based on Optimization Big Data Ant Colony Algorithm

Lin Wu, Rajesh Kaluri
2021 Wireless Communications and Mobile Computing  
Then, an improved big data adaptive ant colony classification rule algorithm is proposed.  ...  The results show that compared with other algorithms, ACA ∗ (ant colony algorithm) based on big data has more obvious advantages in stability, optimization ability, running time, and convergence speed  ...  Kusumahardhini's team proposed to use the K-means method and cross ant colony optimization (ACO) to solve the medium-term strategic planning problem of travel agencies, compared and analyzed the results  ... 
doi:10.1155/2021/2456629 fatcat:hu47gexjjvbdhakuheqdo5v7dq

Linking Tourism and Conservation in the Arctic

DNN, World Wildlife Fund
1998 Colonial waterbirds  
There was a potential for a sirnilar conflict on Svalbard connected to a planned road between Longyearbyen and Svea that would support the mining industry, but plans for the road were ultimately dropped  ...  The time is right for a new and innovative approach to the implementation of environmentally minded guidelines for tourism in the Arctic.  ...  colonies. • Keep noise to a minimum. • Do not feed the animals, either ashore or from the ship. 2.  ... 
doi:10.2307/1521929 fatcat:d2gae6g3rfc6xloxjbt2itp7oy

Living the end of empire: politics and society in late colonial Zambia

2012 ChoiceReviews  
The United States supported the British policy, and began to build significant ties to the area, particularly related to the mining industry.  ...  In doing so, this essay contributes key pieces to the bigger historical puzzles of the Rhodesian Federation, US  ...  Northcote called for a return to Christianity to try to solve the vast problems of modern Africa.  ... 
doi:10.5860/choice.49-4018 fatcat:lxuvcxotwfbwjngopl5bt6he64

Optimization of Lung Cancer using Modern Data Mining Techniques

T. Sowmiya,, M. Gopi,, M. New Begin,, L.Thomas Robinson
2014 International Journal of Engineering Research  
We also reviewed the aspects of ant colony optimization (ACO) technique in data mining. Ant colony optimization helps in increasing or decreasing the disease prediction value of the diseases.  ...  This case study assorted data mining and ant colony optimization techniques for appropriate rule generation and classifications on diseases, which pilot to exact Lung cancer classifications.  ...  The main goal of the cataloging rule mining is the prediction of the predefined class based on the collection. Based on ACO procedure, Ant-Miner solved the arrangementlawproblematic.  ... 
doi:10.17950/ijer/v3s5/503 fatcat:qdcoghupdfd7fjf6kr7i7cjcdi

A New Metaheuristic Algorithm for Long-Term Open-Pit Production Planning / Nowy meta-heurystyczny algorytm wspomagający długoterminowe planowanie produkcji w kopalni odkrywkowej

Javad Sattarvand, Christian Niemann-Delius
2013 Archives of Mining Sciences  
Paper describes a new metaheuristic algorithm which has been developed based on the Ant Colony Optimisation (ACO) and its efficiency have been discussed.  ...  To apply the ACO process on mine planning problem, a series of variables are considered for each block as the pheromone trails that represent the desirability of the block for being the deepest point of  ...  Finally some reserve constraints are applied to mathematically guarantee that a block is mined only once. Several approaches have been proposed in literature to solve this model.  ... 
doi:10.2478/amsc-2013-0007 fatcat:x3nrf45yqjd2binfpoyou6757y
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