2018 IEEE International Congress on Big Data (BigData Congress)最新文献_第5页

An OWL Ontology for Supporting Semantic Services in Big Data Platforms 支持大数据平台语义服务的OWL本体

2018 IEEE International Congress on Big Data (BigData Congress) Pub Date : 2018-07-01 DOI: 10.1109/BigDataCongress.2018.00039

Domenico Redavid, Roberto Corizzo, D. Malerba

引用次数: 10

Categorical Models for BigData 大数据的分类模型

2018 IEEE International Congress on Big Data (BigData Congress) Pub Date : 2018-07-01 DOI: 10.1109/BigDataCongress.2018.00049

Laurent Thiry, Heng Zhao, M. Hassenforder

引用次数: 1

A Data-Driven Approach to Predict an Individual Customer's Call Arrival in Multichannel Customer Support Centers 在多渠道客户支持中心预测单个客户呼叫到达的数据驱动方法

2018 IEEE International Congress on Big Data (BigData Congress) Pub Date : 2018-07-01 DOI: 10.1109/BigDataCongress.2018.00016

S. Moazeni, Rodrigo Andrade

{"title":"A Data-Driven Approach to Predict an Individual Customer's Call Arrival in Multichannel Customer Support Centers","authors":"S. Moazeni, Rodrigo Andrade","doi":"10.1109/BigDataCongress.2018.00016","DOIUrl":"https://doi.org/10.1109/BigDataCongress.2018.00016","url":null,"abstract":"The availability of big data collected by multichannel contact centers creates opportunities for businesses to more accurately predict future interactions with their customers. This paper presents a data-driven modeling approach to forecast the likelihood of a call arrival by an individual customer within the next thirty days, based on the multichannel data from contact centers. This model incorporates information related to the past Web activities of an individual customer to predict his future telephone queries. Our study relies on big datasets from contact centers of one of the largest U.S. insurance companies. Various characteristics related to the customer segment, recency and frequency of customer interactions, and cross-class features are considered. We find evidence that some of the recent web activities of a policyholder significantly increases the probability that the policyholder would make a telephone call in the next 30 days. In addition, recency and frequency of contacts impact the probability of the policyholder's call, for a specific set of reasons for past contacts.","PeriodicalId":177250,"journal":{"name":"2018 IEEE International Congress on Big Data (BigData Congress)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128628833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Towards Optimal Snapshot Materialization to Support Large Query Workload for Append-Only Temporal Databases 面向支持仅追加时态数据库的大查询工作负载的最佳快照实体化

2018 IEEE International Congress on Big Data (BigData Congress) Pub Date : 2018-07-01 DOI: 10.1109/BigDataCongress.2018.00048

Amin Beiraimi, K. Pu, Ying Zhu

引用次数: 0

Estimation of Types of States in Partial Observable Network Systems 部分可观测网络系统状态类型的估计

2018 IEEE International Congress on Big Data (BigData Congress) Pub Date : 2018-07-01 DOI: 10.1109/BigDataCongress.2018.00033

Sayantan Guha

引用次数: 0