Austin / Tokyo / Amsterdam / Simulation / New York / Dalian / Wuhan / London / San Diego / /
Company
MIT Press / Rockwell / PMML / Acxiom / Cisco / /
Continent
Europe / Africa / /
Country
Canada / India / United States / /
Currency
USD / / /
Facility
stable AUC / Incoming Call Management Institute / Optimizing Contact Center Throughput Abbas Raza Ali Business Analytics Center of Competency IBM / /
IndustryTerm
supervised learning algorithm / Customer data processing / online scoring process / telephony switches / satisfaction-level using neural network algorithm / Wireless Communications / telephony switch / supervised learning algorithms / telephony infrastructure / neural network / hidden layer network / Online Scoring Process Predictor Optimization / machine learning algorithm / random forest algorithm / telephone exchange / telephony switch interface / satisfaction using neural network algorithm / data processing module / legacy telephony switches / machine learning algorithms / real-time environment / online process / vector machine algorithm / telephony messages / centre services / telephony switch messages / supervised machine learning algorithm / well known supervised learning algorithms / famous telephony switches / overall processing time / learning algorithms / /
NaturalFeature
Neural Network Support Machines Vector Random Forest / Random Forest Random Forests / Random Forest / /
Organization
Call Center / Incoming Call Management Institute / Contact Center Throughput Abbas Raza Ali Business Analytics Center / Keywords Artificial Intelligence / MIT / Contact Center / /
Person
Kenneth N. Tombs / Abbas Raza / / /
Position
format Preprocessing Customer Information Offline Training Process Load Data Model Data Model Conversion / Model for Call Centers Using Knowledge Management / maximum accuracy Data Modeling Data Model Conversion / Neural Network Feed-forward / operational model for achieving significantly improved calloutcomes / model update scheduler / central driver / otherwise scheduler / ACKNOWLEDGMENTS The author / /