Explorer Interface

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The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform

Rahmah Mokhtar - One of the best experts on this subject based on the ideXlab platform.

  • comparison of statistic prediction results in weka Explorer Interface and experimenter environment Interface on dataset
    Journal of emerging technologies and innovative research, 2019
    Co-Authors: Thamer Khalil Esmeel, Roslina Abd Hamid, Rahmah Mokhtar
    Abstract:

    With the increased interest into data mining as an important tool for data processing and analysis, the researchers are concerned into data mining for real decision making, data mining helps in the organizational decision making, inaccurate information can mislead decisionmakers and cause costly errors. With more data collected for analytical purposes. Techniques data mining through Weka Explorer Interface and experimental environment Interface into determining the prediction and accuracy using different algorithm ratings to know the performance of best. Study confirm is to categorize data and help users mining useful data and easily identify an appropriate algorithm for an accurate predictive model, to access the best-performing algorithms, minimize errors and minimum time to build models through the Explorer Interface and Experimental Environment Interface to get accurate.

Thamer Khalil Esmeel - One of the best experts on this subject based on the ideXlab platform.

  • comparison of statistic prediction results in weka Explorer Interface and experimenter environment Interface on dataset
    Journal of emerging technologies and innovative research, 2019
    Co-Authors: Thamer Khalil Esmeel, Roslina Abd Hamid, Rahmah Mokhtar
    Abstract:

    With the increased interest into data mining as an important tool for data processing and analysis, the researchers are concerned into data mining for real decision making, data mining helps in the organizational decision making, inaccurate information can mislead decisionmakers and cause costly errors. With more data collected for analytical purposes. Techniques data mining through Weka Explorer Interface and experimental environment Interface into determining the prediction and accuracy using different algorithm ratings to know the performance of best. Study confirm is to categorize data and help users mining useful data and easily identify an appropriate algorithm for an accurate predictive model, to access the best-performing algorithms, minimize errors and minimum time to build models through the Explorer Interface and Experimental Environment Interface to get accurate.

Roslina Abd Hamid - One of the best experts on this subject based on the ideXlab platform.

  • comparison of statistic prediction results in weka Explorer Interface and experimenter environment Interface on dataset
    Journal of emerging technologies and innovative research, 2019
    Co-Authors: Thamer Khalil Esmeel, Roslina Abd Hamid, Rahmah Mokhtar
    Abstract:

    With the increased interest into data mining as an important tool for data processing and analysis, the researchers are concerned into data mining for real decision making, data mining helps in the organizational decision making, inaccurate information can mislead decisionmakers and cause costly errors. With more data collected for analytical purposes. Techniques data mining through Weka Explorer Interface and experimental environment Interface into determining the prediction and accuracy using different algorithm ratings to know the performance of best. Study confirm is to categorize data and help users mining useful data and easily identify an appropriate algorithm for an accurate predictive model, to access the best-performing algorithms, minimize errors and minimum time to build models through the Explorer Interface and Experimental Environment Interface to get accurate.

Rca Astroelectronics Div - One of the best experts on this subject based on the ideXlab platform.

Abril Ferrando, Josep Francesc 1970- - One of the best experts on this subject based on the ideXlab platform.

  • RPGeNet v2 .0: expanding the universe of retinal disease gene interactions network
    'Oxford University Press (OUP)', 2020
    Co-Authors: Arenas Galnares Rodrigo, Castillo Lara Sergio, Toulis Vasileios, Boloc Daniel, Gonzàlez-duarte Roser, Marfany Nadal I Gemma, Abril Ferrando, Josep Francesc 1970-
    Abstract:

    RPGeNet offers researchers a user-friendly queriable tool to visualize the interactome network of visual disorder genes, thus enabling the identification of new potential causative genes and the assignment of novel candidates to specific retinal or cellular pathways. This can be highly relevant for clinical applications as retinal dystrophies affect 1:3000 people worldwide, and the causative genes are still unknown for 30% of the patients. RPGeNet is a refined interaction network Interface that limits its skeleton network to the shortest paths between each and every known causative gene of inherited syndromic and non-syndromic retinal dystrophies. RPGeNet integrates interaction information from STRING, BioGRID and PPaxe, along with retina-specific expression data and associated genetic variants, over a Cytoscape.js web Interface. For the new version, RPGeNet v2.0, the database engine was migrated to Neo4j graph database manager, which speeds up the initial queries and can handle whole interactome data for new ways to query the network. Further, user facilities have been introduced as the capability of saving and restoring a researcher customized network layout or as novel features to facilitate navigation and data projection on the network Explorer Interface. Responsiveness has been further improved by transferring some functionality to the client side