可挖掘的

基本解释 (translations)

diggable

与可挖掘的相关的网络例句 [注：此内容来源于网络，仅供参考]

The article first discusses the related concepts and basic method of data mining. The task of data mining is to find mode from database. The mode can be many , we can dispart two according to function: predictive mode and descriptive mode.

文章首先论述了数据挖掘的相关概念以及数据挖掘的基本方法，数据挖掘的任务是从数据集中发现模式，模式可以有很多种，按功能可分为两大类：预测型模式和描述型模式。

In order to provide a flexible and patulous calculating platform and execute high efficiency data mining, a calculating architecture and algorithms of data mining are presented to apply in distributed and parallel environment.

为了提供一个灵活可扩展的计算平台进行高效的挖掘计算，提出了一种应用于分布和并行环境的数据挖掘计算框架和相应的算法。

Algorithm overcame the limitation that digs algorithm at present, mining flow structure while mining management handles action, strengthened process mining applicably quality.

算法克服了目前挖掘算法的限制，挖掘流程结构的同时挖掘管理操作行为，加强了过程挖掘的可适用性。

The γ algorithm overcame the limits of current mining algorithm, and it could mine management operation actions while mining the process structure, which greatly improved the applicatory of process mining.

算法克服了目前挖掘算法的限制，挖掘流程结构的同时挖掘管理操作行为，加强了过程挖掘的可适用性。

Introduced Fan Boolean Algebra theory as a whole, after analyzing and studying of it, concluded that: the characteristic of Fan Boolean Algebra has determined that it can solve the extant problem of Data Mining to a certain extent, for example, it can guarantee the result after data mining to be usable , assured and construable;can solve the problems about expression difficulty of complicated concept, correlation of attributes emphasized incompletely and redundant examining;it can set up the unified model of Fan Boolean in a certain system;and it can promote the developmental research of new decision support system.

对泛布尔代数进行总体介绍，在分析和研究它的理论体系后，概括出：它的特性决定了它能在一定程度上解决数据挖掘的现存问题，比如可以保证数据挖掘结果的可用性、确定性及可解释性，可以解决复杂概念表达困难、属性间的相互关系强调不够、重复检验等问题；能就某一系统建立统一的泛布尔模型；并促进新型决策支持系统的开发研究，并对泛布尔代数与数据挖掘相结合的原理展开论述。

Based on the basic concepts of data mining , this dissertation compares and analyses the differences of data mining and other methods such as KDD and OLAP , classifies and summarizes the objects of data mining , the findable patterns and the common techniques in detail .

在介绍数据挖掘基本概念的基础上，对数据挖掘与传统分析方法，数据库中的知识发现和联机分析处理做了深入地分析和比较，对数据挖掘的对象，可发现的模式进行了详细地分类，归纳和总结，对数据挖掘常使用的技术做了介绍和分析。

Association rule is an important content in data mining, efficient arithmetic is the most important part of data-mining 昺odel, especially when facing the complicated and various demands, it is necessary to propose characteristic and complementary arithmetic according to different factors. The paper analyses elaborately the idea of association rule mining arithmetic based on constraints, studies the classes of constraints in order to confirm its utility. The arithmetic aiming at united variable constraints improvement strategy and exchange of complication aggregation constraints has been designed, the practice has proved that it is effective.

关联规则是数据挖掘研究的重要内容，高效的算法是数据挖掘的重要组成部分，而且面对复杂的多方面的需求，应提供针对各种因素的各具特色的互补的多种算法，本文详尽地研究了基于约束的关联规则挖掘算法的思想，深入地研究了约束的分类、确定其可利用的性质，在此基础上提出了针对联合约束中前驱和后继重叠时的改进策略和复杂聚集约束的转换方法。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征，提出基于k-means的二次聚类方法，对交通流量在流量大小和时间上进行模式划分，进而对各个交通流模式进行基于BP神经网络的描述和预测，从而提高模型对流量预测的精度； 2）根据流量/时间占有率倒&V&字形曲线分布模型，提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法，实际应用表明该方法能够有效识别异常数据，然后根据移动平均算法对异常数据进行修正； 3）基于序列相关性分析，分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析，选择相似性流量序列，作为辅助序列提供其他没有检测器路口的流量估计； 4）设计和实现了基于SOA（Service-Oriented Achitecture）的高性能、可扩展的智能交通数据挖掘系统UTDD，该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口，实现数据挖掘应用的统一管理和调用，最后在UTDD上建立了基于路口流量预测的应用模型。

As an "unlimited" spending, the economic potential of tour-shopping is the most part in the inscape of tour products, thus many developed countries and areas in the world attach importance to tour-shopping.

旅游购物作为&无限&花费，在旅游产品的构成要素中可挖掘的经济效益的潜力最大，因此世界上许多旅游业发达国家和地区都十分重视发展旅游购物。

A design of reconfigurable data mining systematic framework is proposed to improve speed and precision.

为了提高数据挖掘的速度和精度，提出了可重构的数据挖掘系统框架设计方案。

与可挖掘的相关的网络解释 [注：此内容来源于网络，仅供参考]

cheaper：便宜

胜者与失败者不同的地方在于前者能持续地提供更好(better)、更便宜(cheaper)、更快(faster)、更柔性(more agile)的产品和服务. 解决非结构化决策问题,可充分利用人工智能的研究成果特别是近年来发展起来的数据仓库(DW)、在线分析(OLAP)和数据挖掘(DM)技术.

confuse：混乱

诱取点 催眠(Sleep) 地面通道混乱(Confuse) 地面通道第二梯子前右岔路尽头疗伤(Cure) 挖掘现场内部石头下可取得道具 旧钥匙(Old Key) 挖掘现场内部第二梯子附近旧钥匙(Old Key) 第一梯子进入内部后的第一路口附近在途中会看见路旁有一块巨石,

extracting：萃取

数据挖掘(Data Mining)是一个萃取(Extracting)和展现(Presenting)新知识的流程. 通过分析具体数据,发现确定有效的、新颖的、有潜在使用价值的、以往不为人知的、最终可理解的信息,为企业良好运营和决策部门做出重要决策提供帮助.

faster：更快

胜者与失败者不同的地方在于前者能持续地提供更好(beter)、更便宜(cheaper)、更快(faster)、更柔性(more agile)的产品和服务. 解决非结构化决策问题,可充分利用人工智能的研究成果. 特别是近年来发展起来的数据仓库(dw)、在线分析(olap)和数据挖掘(dm)技术.

horizon：层

profile). 土壤剖面是从地表向下挖掘直至母质的一段垂直切面. 切面上常常可观察到1个或多个呈水平状分布的条带或层次,这些层次称为土层(horizon)或发生层. 典型的森林土壤剖面可划分为O、A、B、C四个层次

pedicle：肉茎

腹壳的后段可有一孔洞,称肉茎孔(pedicle opening),由此伸出肉茎的柄,叫肉茎(pedicle),用以固着底质或挖掘潜穴,顾腹壳又称为茎壳(pedicle valve). 腕足动物主要根据两壳瓣铰合构造的有无,分为低等的无铰纲(Inarticulata)和高等的有铰纲(Articulata).

spade：铲

1.买一把铁铲(Spade),然后根据任务提示,走入任务点. 2.不要去敲任务点的房门,进入房屋旁的玫瑰园,有一圈玫瑰围着的地,走到当中选则挖掘(方向键的下将显示铲子的图示),将获得1把银钥匙. 3.走到可攻击的玫瑰刺旁,将可以看见一个箱子,

can yon hear the rustling in the Undergrowth：你可曾听到来自地下的挖掘声

"Hush, hush, my Dear, 安静些,安静些,我的爱人 | can yon hear the rustling in the Undergrowth? 你可曾听到来自地下的挖掘声? | See through the branches, there in the glade...", 望穿树枝,在沼泽之下

Brushing：刷

平行坐标对多维数据的表达是数据可视化的重要方法之一.它实现了多维数据在二维平面上的表示.利用平行坐标对数据进行分析处理的技术已经取得了很大的进展,如刷(Brushing)技术、交换坐标轴、抽象等.这些分析技术已经应用到数据挖掘的很多领域,

databases：資料庫

随著资料获得及储存技术的快速发展,使得资料库(databases)及资料仓储(data warehouses)中的资料量急遽增加. 虽然这些资料中隐藏著相当多可利用的讯息,但当面对这些庞大资料时却苦无有效的工具来挖掘出可利用的讯息. 因此,