Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Session: Data Mining and Analysis

14 articles
Proceedings Article

Using the Pattern Function of Angular Momentum Improve the Directivity of Binary Antenna Array

Jiangmei Tang, Bin Yao, Qinhong Zheng
Building solar power stations in space are concerned by international .In the process of electricity transmission to need to make the solar cell array always orient for the sun. The microwave beam of transmitting antenna must point to ground receiving antenna, which requirement the antenna has the very...
Proceedings Article

An Adaptive Ant Colony Algorithm for Classification Rule Mining

Xiaomeng Zhang, Wensheng Sun
Ant-Miner algorithm is a typical classification rule mining algorithm which can improve the classification accuracy and generate simple rules. However, it also has a few disadvantages, such as complicated computing method for heuristic factor, long calculation time, slow evolution and so on. Based on...
Proceedings Article

Research Semi-Supervised Learning via Kernel Function Method

Jianfeng Liu, Jia Lv
Recently, researchers focus on Graph-based semi-supervised learning, how to construct a graph and introduce kernel function into semi-supervised learning affect the effect of the algorithm, and mostly. This paper proposed a improved graph-based method and introduce kernel function into semi-supervised...
Proceedings Article

Text Similarity Based on Semantic Analysis

Junli Wang, Qing Zhou, Guobao Sun
One of the most important challenges in measuring text similarity is language variability: texts with the same meaning can be realized in several ways. A way to address the language variability is the notion of semantic similarity. This paper extracts the relevance of texts and terms through Singular...
Proceedings Article

Research on Patent Document Classification Based on Deep Learning

Bing Xia, Baoan LI, Xueqiang Lv
Science and technology can be called the first productive force of development, and the patent as an important source of science and technology innovation is getting more and more attention. With the increase in the number of patent applications, followed is patent document classification problem. At...
Proceedings Article

hi-RF: Incremental Learning Random Forest for Large-Scale Multi-class Data Classification

Tingting Xie, Changjian Wang, Yuxing Peng
In recent years, dynamically growing data and large-scale data classification research. Most traditional methods struggle to balance the precision and computational burden when data and its number of classes increased. However, some methods are with weak precision, and the others are time-consuming....
Proceedings Article

OLP Scheme on Backup Log and Hbase

Chao Feng, Baoan Li
As a non-relational database, HBase (Hadoop Data Base) is an open source data storage system based on column cluster and is applied wisely. The HBase will write the log file before the memory caches data, so the cache size and the writing speed of the log file have become two important factors affecting...
Proceedings Article

High-speed Data Long-line Transmission Modeling and Evaluation

Xiao Li, Bowei Zhang, Shaowei Li, Chaojie Wang, Fanling Kong, Zhichao Xue
In the field of aerospace, the amount of test data need to be transmitted is large, and the transmission is far. Especially when down sending the stored data, the code rate is as high as 200Mbps, and the data transmission distance is far, even up to several tens of meters. This paper presents a high-speed...
Proceedings Article

Segmentation Study of Aged Gait Based on FFT

Li Zhu, Yuchuan Wu, Shuangbao Ma, Shengfeng Qi
To study the rules and characteristics of the daily actions of the aged, a set of multi-sensor wearable device has been developed. As for the segmenting method of action data collected from the aged wearing this device, the human action sequence segmentation method has been proposed based on the motion...
Proceedings Article

Investigating Semantic Relationship between the Scene and the Sound within the Scene by Dynamic Causal Modeling

Xiaojing Wang, Junhai Xu
The purpose of the paper was to explore the dynamic information flow among brain regions, which took part in the perception of the semantic relationship between the scene and the sound of the object within the scene. 15 healthy volunteers were recruited to observe the 4 categories (32 subclasses) of...
Proceedings Article

An Empirical Study on Energy Disaggregation via Deep Learning

Wan He, Ying Chai
Energy disaggregation is the task of estimating power consumption of each individual appliance from the whole-house electric signals. In this paper, we study this task based on deep learning methods which have achieved a lot of success in various domains recently. We introduce the feature extraction...
Proceedings Article

The Application of kNN and SVM in the Decoding of fMRI Data

Fangyuan Ma, Junhai Xu
For the decoding analysis of functional magnetic resonance imaging (fMRI) data, the appropriate method for feature selection and classification algorithm was a core issue. Given the high dimensionality of fMRI data in whole brain, the localization of regions of interest (ROI) usually was used to select...
Proceedings Article

Research on Gombrich's Academic Affinitive Community Based on Data Mining

Jing Ye
From the knowledge exchange and influence angle, taking bibliometrics as the research methods, the author selected the journal papers which cited Gombrich academic literatures as the research object. Based on the literature data mining, this article described the academic affinitive relationships and...
Proceedings Article

Rethinking the Traditional "Faithfulness" after Deconstructing Centeredness

Chunhua Shen
Among many translation criteria, "faithfulness" principle is the most popular and widely accepted by Chinese and Westerners. Traditional translation criteria emphasize "faithfulness" which is regarded as the most essential principle in translation process and is also accepted by most translators. This...