多关系关联规则挖掘中的隐私保护

分析了经典关联规则挖掘及相关的隐私保护等问题,同时研究了多关系关联规则的刻画和挖掘问题.通过重新定义查询模式,改进了Warmr方法,使查询模式支持“频繁查询模式的子模式也必然是频繁的“这种Apriori特性,进而将其移植到多关系规则的挖掘过程,从而加快规则的挖掘.研究了有针对性的敏感规则的挖掘方法,通过挖掘包含敏感信息的所有频繁查询模式,从中导出所有能够导致信息泄露的敏感规则;为了平衡数据可用性和安全性之间的矛盾,通过隐藏所有敏感规则中公共关系的元组,在保证规则隐藏和数据安全的同时,降低了对数据可用性的影响.     

A Deep Web Query Interfaces Classification Method Based on RBF Neural Network

This paper proposes a new approach for classification for query interfaces of Deep Web, which extracts features from the form＇s text data on the query interfaces, assisted with the synonym library, and uses radial basic function neural network （RBFNN） algorithm to classify the query interfaces. The applied RBFNN is a kind of effective feed-forward artificial neural network, which has a simple networking structure but features with strength of excellent nonlinear approximation, fast convergence and global convergence. A TEL_8 query interfaces＇ data set from UIUC on-line database is used in our experiments, which consists of 477 query interfaces in 8 typical domains. Experimental results proved that the proposed approach can efficiently classify the query interfaces with an accuracy of 95.67%.     

关于Pk(P>3)元域F的单超越扩域E上的三次方程的根的问题

设Ｆ是Ｐ＾ｋ（Ｐ〉３）元域，Ｅ是Ｆ的单超越扩域。本给出Ｅ上的三次方程ｙ＾３＋Ａｙ＋Ｂ＝０在Ｅ中有根或没有根的条件，若方程有根，则同时给出根的个数。     

基于SuperMap.Deskpro.Net三维建模及二、三维一体化的应用研究

分析了3DGIS的功能、研究内容以及缺陷.通过对3DGIS和2DGIS比较得出二、三维一体化的必要性.运用Supermap.Deskpro.Net建立三维场景,进行山体和城市三维建模、城市三维快速建模、二、三维一体化搡作、联动显示、属性修改、SQL查询等,研究二、三雏一体化的特点和优势,并对相关问题进行探讨.     

一种截窗查询的多障碍物快速碰撞检测算法

依赖于地理信息系统的越野路径规划,由于存在大量分布不规律的环境障碍物,严重影响路径规划的计算速度,借鉴截窗查询的思想,给出了基于一维数据结构的矩形截窗查询算法,该算法有效减少了规划过程所需碰撞检测的障碍物个数,大幅提高规划速度,在环境障碍物动态更新的情况下,其性能优于区间树的截窗查询方法。

Abstract：

Path planning based on GIS is a fundamental problem in many applications. It is the main problem affecting the planning time because of the multi-obstacles in field environment. A novel rectangle windowing query method was proposed in order to improve the compute efficiency of collision free test. The method reduces the numbers of obstacles needed to test and speeds the planning process, and is more suitable with the dynamic environment of obstacles changing than the interval tree method.     

数据库开发程序PowerBuilder中设计查询功能的改进方法

通过对当前流行数据库开发程序ＰｏｗｅｒＢｕｉｌｄｅｒ的介绍，探讨如何利用它在设计数据库查询方面编辑出一种更利于人机交互的程序．     

正整数的k次方数数列的求和

设n是正整数，a（n）表示不超过n的最大k次方数，b（n）表示不小于n的最小k次方数。利用数列a（n）和b（n）的性质，给出了a（n）和b（n）两个数列的求和公式。     

ns脉冲激光作用下K9玻璃的等离子体谱图研究

建立一套激光等离子体光谱测量实验装置，以Nd：YAG调Q倍频固体激光器为激发光源，作用K9玻璃。通过对K9的等离子体谱图的分析发现，K9玻璃等离子体谱强度的变化与激光器输出能量呈线性关系。同时利用显微镜观察K9玻璃的表面损伤形貌，并进行理论分析。     

量子K最近邻算法

为减少经典K最近邻算法的时间复杂度,提出了量子K最近邻算法(QKNN)。介绍了QKNN算法的构造步骤,然后为减少量子计数子程序的运行时间,进一步将固定的K值修改为可变的k,形成改进的k可变的量子最近邻算法(QkvNN)。为弥补由于最近邻个数K变化带来的分类错误率上升的影响,在Boosting算法框架下,用三个由QkvNN算法训练的弱分类器,去构造了一个强分类器,从而提高单独运行QkvNN的分类精度。在此算法中,由于利用了量子计算的强大能力,使得经典K最近邻算法的时间复杂度从O(N)减小为O(N)。     

Metabonomic analysis of hepatitis B virus-induced liver failure： identification of potential diagnostic biomarkers by fuzzy support vector machine

Hepatitis B virus （HBV）-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-indueed liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry （GC-MS） to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five eommensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor （KNN） and fuzzy support vector machine （FSVM） combined with exhaustive search （ES）, were employed to identify a subset of metabolites （biomarkers） that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyeerie acid, cis-aeonitie acid and citric acid, are identified as potential diagnostic biomarkers.