Search Results - (( data protection path algorithm ) OR ( java application mining algorithm ))

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  1. 1
    Direct approach for mining association rules from structured XML data

    Direct approach for mining association rules from structured XML data by Abazeed, Ashraf Riad

    Published 2012
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  2. 2
    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection

    Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection by Saputra , Dhany, Rambli, Dayang R.A., Foong, Oi Mean

    Published 2008
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  3. 3
    Study and Implementation of Data Mining in Urban Gardening

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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  4. 4
    Mining Sequential Patterns Using I-PrefixSpan

    Mining Sequential Patterns Using I-PrefixSpan by Dhany , Saputra, Rambli Dayang, R.A., Foong, Oi Mean

    Published 2007
    “…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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  5. 5
    A web-based implementation of k-means algorithms

    A web-based implementation of k-means algorithms by Lee, Quan

    Published 2022
    “…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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  6. 6
    Mining Sequential Patterns using I-PrefixSpan

    Mining Sequential Patterns using I-PrefixSpan by Saputra , Dhany, Dayang R.A. Rambli, Foong, Oi Mean

    Published 2008
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  7. 7
    Features selection for intrusion detection system using hybridize PSO-SVM

    Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

    Published 2016
    “…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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  8. 8
    Secured route optimization in mobile IPv6 wireless networks in terms of data integrity

    Secured route optimization in mobile IPv6 wireless networks in terms of data integrity by Mehdizadeh, Abbas, Khatun, Sabira, Mohd Ali, Borhanuddin, Raja Abdullah, Raja Syamsul Azmir, Kurup, Gopakumar

    Published 2008
    “…This algorithm is able to detect and prevent the attacker from modifying the data with using an encryption algorithm at a cost of a small increase in delay. …”
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  9. 9
    Image orientation watermarking technique for copyright protection

    Image orientation watermarking technique for copyright protection by Jasim, Hend Muslim

    Published 2016
    “…In the Pre-Protection design, it investigates the proofing on image operation corruption to support the principle used in showing the preliminary impact of data corruption made by resizing. …”
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  10. 10
    Security enhancement of route optimization in mobile IPv6 networks

    Security enhancement of route optimization in mobile IPv6 networks by Mehdizadeh, Abbas, Khatun, Sabira, Mohd Ali, Borhanuddin, Raja Abdullah, Raja Syamsul Azmir, Kurup, Gopakumar

    Published 2008
    “…This algorithm is able to detect and prevent the attacker from modifying the data with using an encryption algorithm by cost of little bit increase but tolerable delay. …”
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  11. 11
    Protection Schemes for Fiber to the Home Access Networks with Intra Network Switch

    Protection Schemes for Fiber to the Home Access Networks with Intra Network Switch by P'ng, Won Tiang

    Published 2008
    “…If a protection path were to be created, the network provider would have to lay another 2 fibers on the network. …”
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  12. 12
    Long-term rain attenuation probability and site diversity gain prediction formulas

    Long-term rain attenuation probability and site diversity gain prediction formulas by Al-Tabatabaie, Kusay Faisal A.

    Published 2007
    “…The aim of this project is to determine the effect of SD under the rain conditions, combine both categories for the estimation of slant path rain attenuation and SD gain. It includes the designing of algorithm flow which incorporated into MATLAB programming software. …”
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  13. 13
    A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces

    A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces by A. Mostafa, Salama, Ravi, Sharran, Zebari, Dilovan Asaad, Zebari, Nechirvan Asaad, Mohammed, Mazin Abed, Nedoma, Jan, Martinek, Radek, Deveci, Muhammet, Ding, Weiping

    Published 2024
    “…The feature enhancement task is performed by applying the Path Aggregation Network (PANet) and Spatial Pyramid Pooling Network (SPPNet) algorithms, which are deployed to enhance the extracted and generated features. …”
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  14. 14
    A collision resistant cryptographic hash function based on cellular automata rules

    A collision resistant cryptographic hash function based on cellular automata rules by Jamil, Norziana

    Published 2013
    “…A cryptographic hash function is one of the cryptographic primitives designed to protect the integrity of data such as that in digital signatures and online business transactions. …”
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  15. 15
    Digital forensic investigation reduction model (DIFReM) for Windows 10 OS

    Digital forensic investigation reduction model (DIFReM) for Windows 10 OS by Shayau, Yazid Haruna

    Published 2018
    “…The most important part of Digital Forensic Investigation (DFI) is the examination of data – knowing the data type and nature beforehand makes this easier. …”
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  16. 16
    Security testing of web applications for detecting and removing second-order SQL injection vulnerabilities

    Security testing of web applications for detecting and removing second-order SQL injection vulnerabilities by Draib, Najla'a Ateeq Mohammed

    Published 2022
    “…Static analysis is devoted to identifying candidate pairs of vulnerable paths to second-order SQLI. It statically detects when the data comes from tainted sources, when they are stored in the back-end database, and when they are retrieved later in another point to build a new SQL statement without proper sanitisation. …”
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