2018 Proceeding
Over the past few years big data has emerged a new major pluri-disciplinary research area whose objective is to deal with massive datasets and that are too large to be manipulated by conventional modelling and current computational approaches. As the datasets often available in many disciplines and application areas exponentially grow thanks to the increasing availability of novel sensors and devices, there is nowadays an urgent need to develop novel methods and computational approaches to deal with the high volumes and variety of the large data sources generated in many fields. The range of research challenges still opened are extremely large, from the integration, storage, manipulation, data mining and visualization techniques to the development of computing architectures, cloud and distributed computing platforms to scalable storage systems. Clearly, big data challenges should require multidisciplinary approaches, when different points of view, ideas and experiences should be shared, this favoring exchanges and cross-fertilization on recent trends as well as research directions to consider.
Mining and Analysis of User Relationship Based on Microblog Data
With the rapid development of the Internet, people often communicate with others through social networking platforms, where a large number of user relationships are formed. Microblog is one of the most popular social networking platforms. Therefore, ...
Analysis and research of document mining based on Chinese sentence structure database
The analysis of Chinese sentence structure plays an important role in the history of the development of Natural Language Processing technology, and the Chinese sentence library has also brought new opportunities for the research in this field. Based on ...
Data Mining and Analysis of the Propagation Law of Hot Topics in Micro-blog
In this paper, the research on the rules of micro-blog hot topics and the contrast of various hot topics has been studied, and some achievements have been obtained. The main work of this paper is as follows: the calculation formula of accumulation heat ...
Imbalanced Data Classification Based on Hybrid Methods
Imbalanced data are ubiquitous in real-world datasets. This study investigate imbalanced data distribution for binary classification, i.e., where the number of majority class instances is significantly greater than the number of minority class ...
Mechanism Design for Unified Management of Power Grid Planning Data
- Donglei Sun,
- Jun Zeng,
- Yi Zhu,
- Xiangyang Cao,
- Yiqun Wang,
- Bo Yang,
- Bin Yang,
- Nan Wang,
- Qibin Bo,
- Yimu Fu,
- Jia Wei,
- Dong Liu
In order to deal with diversity of massive data structures and the variety of information formats, a novel mechanism is designed for unified management of power grid planning data. By integrating many business systems including production management ...
Data Analysis of Railway Industry Patents
In this paper, we analyze patents of railway industry in international patent database produced by the European Patent Office from year 2013 to 2017. Based on statistics of patent records in database, we build Auto-Regressive-Moving-Average (ARMA) ...
AtNAGNAG: a comprehensive database for NAGNAG alternative splicing in Arabidopsis thaliana
- Qinglei Zhang,
- Qinran Zhang,
- Shuzhang Li,
- Jiazhen Ye,
- Wenhao Tang,
- Meng Yin,
- Keyi Wang,
- Kai Wang,
- Chuanhong Shi,
- Chong Wang,
- Hao Fan,
- Xiaoyong Sun,
- Gaurav Sablok,
- Bingbing Wang,
- Wuli Song,
- Gengxin Zhang
NAGNAG alternative splicing is widely present in animal genomes. In plants, there has been little large-scale exploration of NAGNAG splicing, even in model plants such as Arabidopsis thaliana. To address this, here we describe the first database of ...
Index Terms
- Proceedings of the 2nd International Conference on Big Data Research