Search Results - (( java segmentation using algorithm ) OR ( using textual data algorithm ))

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  1. 1
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  2. 2
    Construction and optimization of financial risk management model based on financial data and text data influencing information system

    Construction and optimization of financial risk management model based on financial data and text data influencing information system by Hui Huang, Thien Sang Lim

    Published 2024
    “…Westudy how textual data aids financial risk management algorithms' risk prediction. …”
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  3. 3
    Thematic textual hadith classification: an experiment in rapidminer using support vector machine (SVM) and naïve bayes algorithm

    Thematic textual hadith classification: an experiment in rapidminer using support vector machine (SVM) and naïve bayes algorithm by Yusof, Norzihani, Rosidi, Siti Aishah Rosidi, Ibrahim, Nuzulha Khilwani Ibrahim, Ahmed Ali, Ahmed El-Mogtaba Bannga

    Published 2020
    “…We believe that the result could be better by improving the data, algorithms, algorithm tuning or ensemble methods for the future experiments…”
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  4. 4
    An improved self organizing map using jaccard new measure for textual bugs data clustering

    An improved self organizing map using jaccard new measure for textual bugs data clustering by Ahmed, Attika

    Published 2018
    “…Considering the unsupervised learning algorithms, Self-Organizing Map (SOM) considers the equally compatible algorithm for clustering, as both algorithms are closely related but different in way they were used in data mining. …”
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  5. 5
    An improved self organizing map using jaccard new measure for textual bugs data clustering

    An improved self organizing map using jaccard new measure for textual bugs data clustering by Ahmed, Attika

    Published 2018
    “…Considering the unsupervised learning algorithms, Self­Organizing Map (SOM) considers the equally compatible algorithm for clustering, as both algorithms are closely related but different in way they were used in data mining. …”
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  6. 6
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    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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  7. 7
    A survey on textual semantic classification algorithms

    A survey on textual semantic classification algorithms by Zubir, W.M.A.M., Aziz, I.A., Jaafar, J.

    Published 2018
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  8. 8
    Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz

    Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz by Yafooz, Wael Mohamed Shaher

    Published 2014
    “…Thus, the proposed technique can increase retrieval performance and produce high accuracy textual data clusters. This model envisages a beneficial and useful approach for various domains that involve big textual data such as document clustering, topic detecting and tracking, information integration, personal data management and information retrieval.…”
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  9. 9
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  10. 10
    A framework of enhanced authentication for PDF textual documents using Zigzag-LSB embedding algorithm

    A framework of enhanced authentication for PDF textual documents using Zigzag-LSB embedding algorithm by Nur Alya Afikah, Usop

    Published 2024
    “…Least significant bits (LSB) were used by the techniques to encrypt authentication data. …”
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  11. 11
    Rule-based filtering algorithm for textual document

    Rule-based filtering algorithm for textual document by Jamil, Nurul Syafidah, Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2017
    “…Textual document is usually in unstructured form and high dimensional data.The exploration of hidden information from the unstructured text is useful to find interesting patterns and valuable knowledge.However, not all terms in the text are relevant and can lead to misclassification. …”
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  12. 12
    Document classification based on kNN algorithm by term vector space reduction

    Document classification based on kNN algorithm by term vector space reduction by Moldagulova A., Sulaiman R.B.

    Published 2023
    Conference Paper
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  13. 13
    Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding

    Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding by Sarwar, Talha, Mohd Noor, Noorhuzaimi Karimah, Miah, M. Saef Ullah

    Published 2022
    “…A textual data processing task that involves the automatic extraction of relevant and salient keyphrases from a document that expresses all the important concepts of the document is called keyphrase extraction. …”
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  14. 14
    Image Encrytion Using Block Based Transformation Algorithm

    Image Encrytion Using Block Based Transformation Algorithm by Bani Younes, Mohammad Ali, Jantan, Aman

    Published 2008
    “…Most of the available encryption algorithms are mainly used for textual data and may not be suitable for multimedia data such as images. …”
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  15. 15
    An enhanced malay named entity recognition using clustering and classification approach for crime textual data analysis

    An enhanced malay named entity recognition using clustering and classification approach for crime textual data analysis by Salleh, Muhammad Sharilazlan

    Published 2018
    “…Named Entity Recognition (NER) is one of the tasks undertaken in the information extraction. NER is used for extracting and classifying words or entities that belong to the proper noun category in text data such as the person's name, location, organization, date, etc. …”
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  16. 16
    Multi-Class Multi-Level Classification of Mental Health Disorders Based on Textual Data from Social Media

    Multi-Class Multi-Level Classification of Mental Health Disorders Based on Textual Data from Social Media by Sutranggono, Abi Nizar, Sarno, Riyanarto, Ghozali, Imam

    Published 2024
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  17. 17
    Stegano-image as a digital signature to improve security authentication system in mobile computing

    Stegano-image as a digital signature to improve security authentication system in mobile computing by Mantoro, Teddy, Permadi, Didit Dwi, Abubakar, Adamu

    Published 2016
    “…One of the authentication techniques is a textual password based. This type of textual password commonly follows an encryption algorithm to provide security. …”
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  18. 18
    Sentiment analysis using negative selection algorithm for Twitter’s messages / Nazirah Che Alhadi

    Sentiment analysis using negative selection algorithm for Twitter’s messages / Nazirah Che Alhadi by Che Alhadi, Nazirah

    Published 2012
    “…In order to develop this model classification and prototype, 480 Twitter’s messages were used as training data and 120 Twitter’s messages for testing data to determine the accuracy of the classification model. …”
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  19. 19
    Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan

    Sentiment analysis for malay newspaper (SAMNews) using negative selection algorithm / Nur Amalina Redzuan by Redzuan, Nur Amalina

    Published 2013
    “…While in Experiment III used 900 newspaper’s sentences as the training data and 100 newspaper’s sentences as the testing data and the accuracy is unproved to 65.81%. …”
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  20. 20
    Ant colony algorithm for text classification in multicore-multithread environment / Ahmad Nazmi Fadzal

    Ant colony algorithm for text classification in multicore-multithread environment / Ahmad Nazmi Fadzal by Fadzal, Ahmad Nazmi

    Published 2017
    “…In the age of wide digital usage, text classification is one of the significant prominent attribute required in order to automatically arrange emails, articles, and other textual data in an organization. Unclassified data can lead to slower data retrieval thus a reliable method is required to effectively retrieve data efficiently and in systematic manner. …”
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