2016 Symposium on Colossal Data Analysis and Networking (CDAN) 2016
DOI: 10.1109/cdan.2016.7570899
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Data mining of heterogeneous data with research challenges

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Cited by 12 publications
(3 citation statements)
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“…Electronic employee strategy solutions are about empowering Government employees so that they can effectively support citizens, speed up their internal administrative processes and render optimal solutions. It streamlines internal processes, improves knowledge sharing, collaboration and staff productivity (Kalra, 2019). In this case, the Government acts as an employer, and interacts with its employees, specially the civil servants, using information technology to enhance internal management efficiency with low administrative costs.…”
Section: Empirical Reviewmentioning
confidence: 99%
“…Electronic employee strategy solutions are about empowering Government employees so that they can effectively support citizens, speed up their internal administrative processes and render optimal solutions. It streamlines internal processes, improves knowledge sharing, collaboration and staff productivity (Kalra, 2019). In this case, the Government acts as an employer, and interacts with its employees, specially the civil servants, using information technology to enhance internal management efficiency with low administrative costs.…”
Section: Empirical Reviewmentioning
confidence: 99%
“…Furthermore, data mining of heterogeneous data plays an important role in getting proper knowledge and information from huge datasets, as presented by Kalra and Lal [38] in their work. By using ML classification and clustering techniques, it is possible to fetch data.…”
Section: Which Of the Domains Are Mainly Focused On Researching Heterogeneity?mentioning
confidence: 99%
“…Επί του παρόντος, τα παρεχόμενα δεδομένα είναι ετερογενή και λειτουργούν ανεξάρτητα, ενώ η αξία που προκύπτει από την εκμετάλλευσή τους είναι περιορισμένη. Οι περισσότεροι από τους παραδοσιακούς αλγόριθμους εξόρυξης δεδομένων δεν είναι σε θέση να αντιμετωπίσουν τόσο την κλίμακα όσο και την ανομοιογένεια των δεδομένων που μπορούν να παρουσιαστούν στην υγειονομική περίθαλψη [244], καθιστώντας όλο και πιο κοινό το να χάνονται προκαταρκτικές ενδείξεις ασθενειών. Σύμφωνα με το [245] τα ιατρικά λάθη όπως οι καθυστερήσεις στη διάγνωση, οι προληπτικές χειρουργικές επιπλοκές και οι υπερβολικές δόσεις φαρμάκων αποτελούν κύρια αιτία θανάτου και τραυματισμού στις Ηνωμένες Πολιτείες.…”
Section: στάδιο συσσωμάτωσης ετερογενών δεδομένων υγείας μέσω μίας οντολογικής κοινής γλώσσας υγείαςunclassified