灰色预测法在情报研究中的应用研究综述

[目的/意义] 灰色预测法可有效处理情报研究中广泛存在的小样本数据，通过对灰色预测法在情报研究中的应用情况进行梳理，总结其在应用过程中存在的不足，为灰色预测法在情报研究中的进一步应用提供参考。[方法/过程] 通过综述情报研究中涉及灰色预测法的相关文献，从数据选取、模型构建和解决的问题等方面对情报研究中灰色预测法的应用进行概述，总结当前情报研究中灰色预测法的应用所存在的问题，并提出改进建议。[结果/结论] 在方法应用上，已有研究主要采用数列灰预测，且模型集中在单变量灰色预测模型，根据预测对象不同，灰色预测法已经在包括期刊分析、图书馆运行管理、热点主题分析及科研机构评价方面得到了很好的应用，未来可根据预测对象特点及研究目标尝试不同的灰色预测方法，扩宽灰色预测法在其他方面的情报研究问题中的应用。     

Quality flaw prediction in Spanish Wikipedia: A case of study with verifiability flaws

In this work, we present the first quality flaw prediction study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove). Based on the underlying characteristics of each flaw, different state-of-the-art approaches were evaluated. For articles not citing any references, a well-established rule-based approach was evaluated and interesting findings show that some of them suffer from Refimprove flaw instead. Likewise, for articles that need additional citations for verification, the well-known PU learning and one-class classification approaches were evaluated. Besides, new methods were compared and a new feature was also proposed to model this latter flaw. The results showed that new methods such as under-bagged decision trees with sum or majority voting rules, biased-SVM, and centroid-based balanced SVM, perform best in comparison with the ones previously published.     

Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods

Cross-Company Churn Prediction (CCCP) is a domain of research where one company (target) is lacking enough data and can use data from another company (source) to predict customer churn successfully. To support CCCP, the cross-company data is usually transformed to a set of similar normal distribution of target company data prior to building a CCCP model. However, it is still unclear which data transformation method is most effective in CCCP. Also, the impact of data transformation methods on CCCP model performance using different classifiers have not been comprehensively explored in the telecommunication sector. In this study, we devised a model for CCCP using data transformation methods (i.e., log, z-score, rank and box-cox) and presented not only an extensive comparison to validate the impact of these transformation methods in CCCP, but also evaluated the performance of underlying baseline classifiers (i.e., Naive Bayes (NB), K-Nearest Neighbour (KNN), Gradient Boosted Tree (GBT), Single Rule Induction (SRI) and Deep learner Neural net (DP)) for customer churn prediction in telecommunication sector using the above mentioned data transformation methods. We performed experiments on publicly available datasets related to the telecommunication sector. The results demonstrated that most of the data transformation methods (e.g., log, rank, and box-cox) improve the performance of CCCP significantly. However, the Z-Score data transformation method could not achieve better results as compared to the rest of the data transformation methods in this study. Moreover, it is also investigated that the CCCP model based on NB outperform on transformed data and DP, KNN and GBT performed on the average, while SRI classifier did not show significant results in term of the commonly used evaluation measures (i.e., probability of detection, probability of false alarm, area under the curve and g-mean).     

现阶段国内U-15少年足球守门员防守技术运用情况调研

运用临场观察、访谈、文献资料调研以及逻辑分析等研究方法 ,对现阶段国内U 15少年足球守门员防守技术运用情况进行统计与分析研究。研究表明 ,少年足球守门员防射门球的预测判断能力不足 ,导致选位差、反应慢和接球易脱手 ,防守的成功率低 ;出击时机把握不好 ,对抗条件下难以有效发挥位置优势 ,强干扰下争夺球失误多。加强足球意识与心理培养 ,提高反应和接球动作质量要求是加强少年足球守门员水平稳定的重要环节。     

培养学生运动技能学习策略的实验报告

运用学习策略理论 ,并结合运动技能学习的特点 ,在田径技术教学中对运动系 2 0 0 1级学生进行了教学实验 ,初步得出以下结论 :在学习运动技能过程中施加学习策略训练有助于学生掌握运动技术 ;在培养学生运用学习策略的能力方面 ,语言法、调控法、认知体验三项指标得到明显改善 ,学习策略能力的培养是一个长期的过程。     

浅谈气步枪比赛中的节奏

通过对上海市天山中学部分运动员参加上海市第十二届运动会气枪比赛前后经过的回顾和分析,认为气步枪比赛中存在的一个节奏现象是影响运动员技术水平和心理状态的重要因素,也就是最终影响成绩的重要因素.     

青少年篮球运动员基本技战术调练中的几个问题

通过调研和资料分析 ,指出我国青少年篮球运动员基本技战术训练中存在的主要问题是教练员对基本技术动作训练要求不严等 ,并提出相关解决方法 ,供同行参考。     

影响三级跳远成绩的若干因素

通过阅读、整理国内外有关三级跳远方面的献资料，阐明三级跳远中助跑速度、起跳技术、三跳比例、力量以及平衡对三级跳远成绩的影响，为三级跳远的研究提供参考。     

羽毛球运动员专项情境中信息加工阶段速度研究

选择44名专业羽毛球运动员和12名羽毛球初学者为被试,以羽毛球比赛情境片段和两种刺激信号为素材,对优秀运动员知觉技能中快速反应的内存机制进行了实验性研究。结果表明:1)在羽毛球专项情境中,与初学者相比,优秀运动员并不是在所有的三个信息加工阶段都表现出较快的加工速度;2)专业运动员比初学者具有快速的刺激辨别,这一指标是评价羽毛球运动员与非运动员的有效指标;3)不同水平运动员在反应选择阶段没有显著的加工速度差异;4)与中等和初学者相比,高水平运动员具有快速的应答编程速度,应答编程阶段的加工速度是水平相近的优秀运动员的有效评价指标。     

溯足球技术发展进程

追溯足球技术发展进程,介绍了足球技术发展的完整变化,对发展进程作出阶段划分,对各阶段特征进行了基本梳理,并对其意义进行了评价,旨在总结足球技术发展的历史规律。