Titlebook: Data Mining and Big Data; First International Ying Tan,Yuhui Shi Conference proceedings 2016 Springer International Publishing Switzerland

永久

Jurisdiction and the Dutch Collective Action was made a count of technology-based companies (TBCs), of process of knowledge management worldwide current, from which are obtained important pillars to finally presents and develops a proposal KM model for TBC’s.

過(guò)份艷麗

Evolutionary Computation and Big Data: Key Challenges and Future Directionsergies between big data and evolutionary computation (EC) algorithms, including swarm intelligence and evolutionary algorithms. We will discuss the combination of big data analytics and EC algorithms, such as the application of EC algorithms to solving big data analysis problems and the use of data

動(dòng)作謎

Prospects and Challenges in Online Data Miningg works in different domains of Data Mining, we also report experiences from ongoing project dedicated to monitoring labour market with the aid of dedicated intelligent information system. Benefits of ODM include high efficiency, availability of data sources, potential extensiveness of datasets, tim

花爭(zhēng)吵

Enhance AdaBoost Algorithm by Integrating LDA Topic Modellly applied to diverse domains for its tremendous simplicity and accurate prediction. To choose the weak hypotheses, AdaBoost has to examine the whole features individually, which will dramatically increase the computational time of classification, especially for large scale datasets. In order to ta

鞠躬

先行

neuron

Implementing Majority Voting Rule to Classify Corporate Value Based on Environmental Efforts area Japanese companies are addressing is the environment. This study aims to classify the corporate value of Japanese companies calculated by the Ohlson model based on environmental efforts using several classification techniques. The corporate value is divided into high, medium, and low. Since th