Essays about: "Call Center data"

Showing result 1 - 5 of 16 essays containing the words Call Center data.

  1. 1. Improvement of the Rucio implementation for the LDCS platform and search for dark data

    University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

    Author : Piotr Yartsev; [2022]
    Keywords : Dark matter; rucio; digital infrastructure; Root; LDMX; LDCS; dark data; Python; CERN; particle physics; big data; Geant4; Light Dark Matter eXperiment; Lightweight Distributed Computing System; data storage; Physics and Astronomy;

    Abstract : In this work we aim to implement a software package to detect and categorize dark data, data not accessible or not known by the user, generated in the simulations of the Light Dark Matter eXperiment (LDMX). This will involve studying current existing solutions for such problems, attempting to implement them for the Lightweight Distributed Computing System (LDCS), and developing our own Dark Data Search (DDS) toolkit to perform the detection and categorization of the dark data. READ MORE

  2. 2. Modelling stellar streams around the Milky Way

    University essay from Lunds universitet/Astronomi - Genomgår omorganisation

    Author : Hyerin Jang; [2021]
    Keywords : Physics and Astronomy;

    Abstract : Stellar streams around the Milky Way (MW) have been observed by wide sky surveys, and studied to understand the mass distribution of the MW. This is because streams are formed by a disruption of a globular cluster or a dwarf galaxy under the influence of the gravitational field of the MW. READ MORE

  3. 3. Speaker Diarization System for Call-center data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yi Li; [2020]
    Keywords : MFCC-vector Speaker Diarization; Speaker Verification; Voice Active Detection; Gaussian Mixture Model; Hierarchy Clustering; MFCC-vektor Högtalardarisering; Högtalarverifiering; Röstaktiv detektering; Gaussisk blandningsmodell; Hierarkikluster;

    Abstract : To answer the question who spoke when, speaker diarization (SD) is a critical step for many speech applications in practice. The task of our project is building a MFCC-vector based speaker diarization system on top of a speaker verification system (SV), which is an existing Call-centers application to check the customer’s identity from a phone call. READ MORE

  4. 4. The Impact of Digital Healthcare - A study that examines the effects of digital healthcare services on performance in primary healthcare in Sweden

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Felix Ekenstam; Carl Eklund; [2019-02-15]
    Keywords : Digital healthcare; Primary healthcare; Waiting List; Substitute; Healthcare Market; Demand for Healthcare; Difference-in-Difference approach;

    Abstract : This paper examines what effect digital healthcare has on primary healthcare in Sweden. Using aggregated register data from Jönköping county council and datasets, from väntetider and from hälsokollen a difference- in difference (DiD) analysis is conducted. READ MORE

  5. 5. A Trade-based Inference Algorithm for Counterfactual Performance Estimation

    University essay from KTH/Matematisk statistik

    Author : Simon Almerström Przybyl; [2019]
    Keywords : ;

    Abstract : A methodology for increasing the success rate in debt collection by matching individual call center agents with optimal debtors is developed. This methodology, called the trade algorithm, consists of the following steps. The trade algorithm first identifies groups of debtors for which agent performance varies. READ MORE