数据挖掘技术在图书馆信息服务中的应用

信息服务是图使馆的主要功能之一,确保其服务质量是图书馆所有工作的重中之重。为满足图书馆信息服务需求,文章提出将数据挖掘技术应用于信息服务工作中,以提高服务质量,响应信息时代。首先,文章对数据挖掘技术的概念、基本过程及主要功能进行了简要分析;其次,从实际情况入手,分析了图书馆信息服务现状,提出有必要利用数据挖掘技术进行信息服务建设的论点;然后,从数据搜集、数据分析、决策支持、信息咨询、个性化服务等方面具体论述了数据挖掘技术在图书馆信息服务中的应用;最后,对图书馆应用数据挖掘技术提出了一些注意事项,切实发挥数据挖掘技术优势。     

大数据环境下基于云计算的图书馆用户信息挖掘技术研究

图书馆用户信息挖掘是提升图书馆管理效率,实现高质量用户管理与用户服务的有效方法。文中研究大数据环境下基于云计算的图书馆用户信息挖掘技术,构建图书馆用户信息挖掘技术结构体系。数据层包括用户基本信息、图书借阅历史数据、图书信息咨询记录等,采用降噪处理、遗漏数据处理等方式预处理用户信息数据;云计算层基于计算资源与存储资源,采用K-means聚类算法从用户借阅情况和用户兴趣类型两方面划分图书馆用户群体类型,依照划分后的用户借阅信息采用蚁群规则挖掘算法,获取用户信息关联规则,形成规则库;应用层依照云计算层的挖掘结果执行个性化推荐。用户信息挖掘结果显示,所研究技术能有效挖掘图书馆用户兴趣类型,以及用户群体信息和时间序列信息。     

数据挖掘与图书馆用户资源分析研究

人类利用图书馆产生信息活动时所表现出的最基础、最平常、最通用的一种关系,便是用户资源和图书馆之间的关系。从这种关系出发,分析嫁接起这一简单联系的规律,便是数据挖掘技术。本文认为对图书馆用户资源分析研究应以数据挖掘技术为逻辑起点,从云计算、信息共享、数据排查、智能搜索、大数据存储等对图书馆用户资源进行整合和建设。面对信息资源日益丰富的今天,数据挖掘技术对管理图书馆信息资源技术提供了巨大便利。     

数据仓库在图书馆信息资源中的关键技术研究

在信息资源整合模式下运用数据仓库技术可以从大量繁杂的数据记录中快速的寻找到真正有价值的信息，随着计算机的广泛应用以及网络技术的不断发展，图书馆的信息资源不断增多，信息资源的增多不仅给信息的查询带来了便利条件同时海量的信息库也给查找信息带来了一定的困难。随着数据仓库技术在图书馆中的应用图书馆的决策支持能力以及信息服务能力、图书情报信息整体应用能力必将获得很大的提升，图书馆数据仓库技术的应用必将进一步促进图书馆的建设和发展。     

网络环境下的数字化图书馆

21世纪将是一个全新的信息时代,图书馆在经历了传统图书馆、自动化图书馆之后,随着计算机技术、通讯和网络技术、高密度存储技术以及多媒体技术的飞速发展,人类正在向旨在建立有序的信息空间,实现真正意义上的信息资源共享为目标的新领域－数字化图书馆迈进。     

图书馆个性化信息服务的模型研究

个性化是图书馆信息服务的发展方向,提供个性化信息服务也将成为未来图书馆的主流业务。与大众信息服务相比较,在信息内容、信息获取、信息识别与匹配、信息整合技术等方面。     

信息推送技术在智慧型图书馆建设中的应用与理念创新

信息推送技术为智慧型图书馆的主动服务功能的实现提供了技术上的支撑,它不仅专业性信息提供强,而且信息专指性和针对性也高,既可减轻网络的负担,又可便于扩大用户范围,从而给图书馆提高使用率和实现真正意义上的智慧型方向发展带来帮助.信息推送技术在智慧型图书馆中,可以在咨询服务工作、在图书采访工作、在图书流通工作、在期刊流通工作...     

高校图书馆个性化信息服务的实现路径

个性化信息服务体现了以用户为中心的服务理念,为图书馆信息服务的发展带来了生机和活力。高校图书馆应利用自身在服务资源、服务技术等方面的优势,拓展个性化信息服务的内涵,不断提升图书馆服务能力,本文研究了高校图书馆个性化信息服务的实现路径。     

基于CSCW的图书馆信息服务系统设计研究

为了更好地满足人们获取图书馆信息的多元性及灵活性,提高图书馆信息服务的整体工作效率,提出基于CSCW的图书馆信息服务系统设计,与图书馆信息服务系统的实际情况相结合,对系统内数据通信所面临的问题展开分析,设计了多媒体桌面会议协议、工作流系统等典型协同工作系统.运用构件和面向对象技术,设计开发了基于CSCW的图书馆信息服务...     

光学字符识别技术与图书馆信息资源的数字化

光学字符识别技术是自动识别技术中针对印刷体字符的一种识别技术,它可以对海量传统信息资源进行加工,存储,检索和利用,是实现图书馆信息资源数字化的先进技术和重要手段。在对传统图书馆信息资源数字化加工过程中应用光学字符识别技术,可以准确、快捷、高效地实现信息资源数字化,加快数字图书馆的建设步伐。     

Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition

Much of the existing work on action recognition combines simple features with complex classifiers or models to represent an action. Parameters of such models usually do not have any physical meaning nor do they provide any qualitative insight relating the action to the actual motion of the body or its parts. In this paper, we propose a new representation of human actions called sequence of the most informative joints (SMIJ), which is extremely easy to interpret. At each time instant, we automatically select a few skeletal joints that are deemed to be the most informative for performing the current action based on highly interpretable measures such as the mean or variance of joint angle trajectories. We then represent the action as a sequence of these most informative joints. Experiments on multiple databases show that the SMIJ representation is discriminative for human action recognition and performs better than several state-of-the-art algorithms.     

超谱遥感图像的波段选择新方法

针对超谱遥感图像的高数据维给图像进一步处理带来的困难,本文构造了波段选择方法的数学模型,该方 法基于统计学原理,通过选择信息量大并且与其它波段相关性小的波段来降低超谱数据维数。本文将降低后的超谱数据进 行小波融合与K．均值非监督分类。分类结果表明,该波段选择的方法能够将保留信息丰富的波段,分类效果与使用原始 波段相比有所提高,计算复杂度大大降低。     

A unified feature and instance selection framework using optimum experimental design

The goal of feature selection is to identify the most informative features for compact representation, whereas the goal of active learning is to select the most informative instances for prediction. Previous studies separately address these two problems, despite of the fact that selecting features and instances are dual operations over a data matrix. In this paper, we consider the novel problem of simultaneously selecting the most informative features and instances and develop a solution from the perspective of optimum experimental design. That is, by using the selected features as the new representation and the selected instances as training data, the variance of the parameter estimate of a learning function can be minimized. Specifically, we propose a novel approach, which is called Unified criterion for Feature and Instance selection (UFI), to simultaneously identify the most informative features and instances that minimize the trace of the parameter covariance matrix. A greedy algorithm is introduced to efficiently solve the optimization problem. Experimental results on two benchmark data sets demonstrate the effectiveness of our proposed method.     

Consumer welfare of informative messages via mobile instant messenger: A case of KakaoTalk’s Info-Talk

This study aimed to estimate consumer welfare created by informative messages via mobile instant messenger (MIM). In order to reach this goal, this paper attempted to estimate the willingness to pay (WTP) for a MIM’s service as a substitute for the existing texting-message service. Info-Talk, an informative message service provided by KakaoTalk, a major MIM in Korea, was employed as a research case, and conjoint analysis was used for a methodology for finding the WTP of informative messages via MIM. According to the result, an informative message via MIM provides 4.87 Korean Won’s (KRW) worth of service to users. When receiving an informative message via MIM using an LTE network, the maximum data charge generated by an informative message via MIM is KRW 2.864. This implies that the amount of the net welfare of informative messaging via MIM exceeds cost incurred by using it with the LTE network.     

Area-granulometry: an improved estimator of size distribution ofimage objects

The most commonly used morphological procedure for estimating size distribution of image components is the granulometry proposed by Matheron (1978). Sometimes this method requires some a priori knowledge of image component shape and fails to produce satisfactory results on certain images when the image components are non-flat. A new method (using morphological area-open) is proposed which is simple, more straightforward and the size distribution obtained is more informative     

电子信息技术对联合作战的影响

未来的战争是信息化的战争,一体化联合作战取代协同性联合作战成为今后信息化战争发展的新趋势。介绍了未来信息化作战的特点,C4ISR系统的构成、应用及发展,深层次地分析了信息元素在联合作战中所起到的作用和影响。     

Optimal multiresolution blending of confocal microscope images

Typical mosaicing schemes assume that to-be-combined images are equally informative; thus, the images are processed in a similar manner. However, the new imaging technique for confocal fluorescence images has revealed a problem when two asymmetrically informative biological images are stitched during microscope image mosaicing. The latter process is widely used in biological studies to generate a higher resolution image by combining multiple images taken at different times and angles. To resolve the earlier problem, we propose a multiresolution optimization approach that evaluates the blending coefficients based on the relative importance of the overlapping regions of the to-be-combined image pair. The blending coefficients are the optimal solution obtained by a quadratic programming algorithm with constraints that are enforced by the biological requirements. We demonstrate the efficacy of the proposed approach on several confocal microscope fluorescence images and compare the results with those derived by other methods.     

Characteristics of the hormonal metabolic status of patients with colonic and rectal cancer

Peculiarities of hormone-metabolic status in patients with cancer of the rectum and colon consist of 1) symptoms of cancrophilia, 2) disturbances of enteric endocrine system and 3) properties of the tumour tissue, determining first of all its hormone sensitivity. Determination of steroid hormone (estrogens and progesterone) receptors does not appear a sufficiently informative criterion of colorectal cancer tissue hormone sensitivity; the adenylate cyclase reaction to the hormonal stimulators is more informative in this respect. The data obtained may be useful in the working out of adjuvant therapy methods in cancer of colon and rectum (including hormonotherapy and metabolic rehabilitation).     

Reconstructing images from their most singular fractal manifold

Real-world images are complex objects, difficult to describe but at the same time possessing a high degree of redundancy. A previous on the statistical properties of natural images reveals that natural images can be viewed through different partitions which are essentially fractal in nature. One particular fractal component, related to the most singular (sharpest) transitions in the image, seems to be highly informative about the whole scene. We show how to decompose the image into their fractal components. We see that the most singular component is related to (but not coincident with) the edges of the objects present in the scenes. We propose a new, simple method to reconstruct the image with information contained in that most informative component. We see that the quality of the reconstruction is strongly dependent on the capability to extract the relevant edges in the determination of the most singular set. We discuss the results from the perspective of coding, proposing this method as a starting point for future developments.     

Bayesian estimation and prediction for Burr‐Rayleigh mixture model using censored data

In this study, Burr‐XII and Rayleigh distributions are combined to form a new mixture model that is considered to model heterogeneous data. Our objective is to estimate parameters of the proposed mixture model using Bayesian technique under type‐I censoring. Bayesian parameter estimation for the said mixture model is conducted by using informative priors, ie, gamma and squared root inverted gamma (SRIG) as well as noninformative prior, ie, Jeffrey's prior. Squared error loss function (SELF) and quadratic loss function (QLF) are employed to obtain and Bayes estimators. Properties of the proposed Bayes estimators are highlighted through a simulation study. When prior distributions and loss functions utilized in the study are compared in terms of posterior risks, informative prior found to be more suitable and decision turns out to be in favor of QLF. Prediction limits for the single sample case and two sample case are obtained to provide an insight into future sample data. Application of the proposed model is also elaborated using a real‐life example.