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1
Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
Published 2020“…There are several learning algorithms to implement the decision tree but the most commonly-used is ID3 algorithm. …”
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2
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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3
Classification of breast cancer disease using bagging fuzzy-id3 algorithm based on fuzzydbd
Published 2022“…One of the most powerful machine learning methods to handle classification problems is the decision tree. There are various decision tree algorithms, but the most commonly used are Iterative Dichotomiser 3 (ID3), CART, and C4.5. …”
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4
Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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5
Decision tree as knowledge management tool in image classification
Published 2008“…Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This research tries to model expert’s knowledge management using case based reasoning method.The knowledge itself is not inputted directly by the expert, but rather the system will learn the knowledge from what the expert did to the previous cases.This research takes image classification as the problem to be solved.As the knowledge development technique, we build decision tree by using C4.5 algorithm.Variables used for building the decision tree are the image visual features.…”
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Conference or Workshop Item -
6
Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Proceeding Paper -
7
Using modification of Prim's algorithm and GNU Octave and to solve the multiperiods installation problem
Published 2020“…Two algorithms (WWM1 and WWM2) are proposed for solving this problem. …”
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Parsing algorithms for grammars with regulated rewriting
Published 2011“…In this paper, we show that the parsing problem for regulated grammars can be solved by means of Petri net derivation trees constructed using the net unfolding. …”
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Proceeding Paper -
9
A matrix approach for minimum spanning tree in neutrosophic and application in medical waste management / Nur Haifa Ahmad Hayazim, Siti Nurain Zulkifli and Siti Nurhidayah Yaacob
Published 2022“…As a final step, a comparative study such as interval-valued neutrosophic minimum spanning tree (IVN-MST), interval-valued intuitionistic fuzzy minimum spanning tree (IVIF-MST) and interval-valued fuzzy minimum spanning tree (IVE-MST) is presented to point out the advantages of the proposed method over that of other existing algorithms. …”
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Student Project -
10
Hybrid tabu search – strawberry algorithm for multidimensional knapsack problem
Published 2022“…For example, Tabu Search (TS) has been successfully hybridized with other techniques, including particle swarm optimization (PSO) algorithm and the two-stage TS algorithm to solve MKP. …”
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11
Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image
Published 2024“…The adaptability of the algorithm is demonstrated through a 3D surface reconstruction using a final disparity map. …”
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12
Guidance system based on Dijkstra-ant colony algorithm with binary search tree for indoor parking system
Published 2021“…A common algorithm to solve the single-source shortest path (SSSP) is the Dijkstra algorithm. …”
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13
A safe overtaking control scheme for autonomous vehicles using rapid-exploration random tree
Published 2022“…The improved algorithm is used to obtain the rough obstacle avoidance of the vehicle. …”
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Proceedings -
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Spanning Tree Transformation of Connected Graph into Single-Row Network
Published 2010“…Path-Growing Tree-Forming algorithm applied with Vertex-Prioritized is contained in the model to produce the spanning tree from the connected graph. …”
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16
Interval elimination method for stochastic spanning tree problem
Published 1994“…A method called an interval elimination is used for solving the stochastic spanning tree problem which has been transformed into its proxy deterministic equivalent problem. © 1994.…”
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17
The effectiveness of bottom up technique with probabilistic approach for a Malay parser
Published 2018“…In conclusion, the Malay Language Parser can be useful to help user identify the appropriate parse tree and solve ambiguity issues in Malay Language.…”
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18
Data Classification and Its Application in Credit Card Approval
Published 2004“…This project is involved with identification of the available algorithms used in data classification and the implementation of C4.5 decision tree induction algorithm in solving the data classifying task. …”
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Final Year Project -
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Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud
Published 2023“…Secondly, in solving every Machine Learning problem, there is no one algorithm superior to other algorithms. …”
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Book Section -
20
Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection
Published 2008“…Sequential pattern mining is a new branch of data, mining science that solves inter-transaction pattern mining problems. …”
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Thesis
