Titlebook: Enterprise Information Systems; 16th International C José Cordeiro,Slimane Hammoudi,Joaquim Filipe Conference proceedings 2015 Springer Int

deliberate

书目名称Enterprise Information Systems影响因子(影响力)




书目名称Enterprise Information Systems影响因子(影响力)学科排名




书目名称Enterprise Information Systems网络公开度




书目名称Enterprise Information Systems网络公开度学科排名




书目名称Enterprise Information Systems被引频次




书目名称Enterprise Information Systems被引频次学科排名




书目名称Enterprise Information Systems年度引用




书目名称Enterprise Information Systems年度引用学科排名




书目名称Enterprise Information Systems读者反馈




书目名称Enterprise Information Systems读者反馈学科排名

Dysarthria

Data Fraud Detection: A First General Perspectivehappened at anytime of human mankind, all around the world, and affects all kind of human activities. For instance, betrayers are entities of the society, industry, banks, services, health-care, non-profit organizations, art, science, media or even a government or the Vatican. We consider four main

修饰

Fibroid

Using Complex Correspondences for Integrating Relational Data Sourcesdata. Integrating data raises several challenges, since the designer usually encounters incompatible data models characterized by differences in structure and semantics. One of the hardest challenges is to define correspondences between schema elements (e.g., attributes) to determine how they relate

专横

Towards an Efficient and Distributed DBSCAN Algorithm Using MapReducehan to those in other groups. Among several types of clustering, density-based clustering algorithms are more efficient in detecting clusters with varied density and different shapes. One of the most important density-based clustering algorithms is DBSCAN. Due to the huge size of generated data by t

神经

Discovering Frequent Patterns on Agrometeorological Data with TrieMotifo climate change impacts. In this context, the development of new technologies for monitoring are crucial. Finding previously unknown patterns that frequently occur on time series, known as motifs, is a core task to mine the collected data. In this work we present a method that allows a fast and acc

神经

An Approach to the Discovery of Accurate and Expressive Fix-Time Prediction Modelsdata-mining researchers in recent years. Traditional approaches only try to forecast the overall fix time of a case when it is reported, without updating this preliminary estimate as long as the case evolves. Clearly, the actions performed on a case can help refine the prediction of its (remaining)

integral

Palliation

Using Data Mining for Prediction of Hospital Length of Stay: An Application of the CRISP-DM Methodol hospital decision making. Data mining techniques aim precisely at the extraction of useful knowledge from raw data. This work describes an implementation of a medical data mining project approach based on the CRISP-DM methodology. Recent real-world data, from 2000 to 2013, were collected from a Por

NIP