该方法包括三个步骤，分别是专利收集，专利指标的计算，和变化挖掘。
The proposed approach consists of steps including patent collection, patent indicator calculation, and change mining.
变化挖掘方法是通过建立专利规则，比较两个不同时期的专利并确定其变化趋势。
In change mining phase the approach firstly excavate rules between two different time periods, comparing them to determine the trend changes.
从挖掘物中获取的浮选样本让植物学家能够研究植物采集习性的转变，就好像是用望远镜观察不断变化的景致。
The flotation samples from the excavations allowed botanists to study shifts in plant-collecting habits as if they were looking through a telescope at a changing landscape.
在本文中，您复习了XML在数据挖掘中的用途和作用，包括模式匹配、变化监测、相似度搜索和监测、数据注释和语义。
In this article, you reviewed the use and roles of XML in data mining, including pattern matching, change detection, similarity search and detection, data annotation, and semantics.
从数据挖掘查询返回的XML数据的消费者通常只对自上次查询以来发生的数据变化感兴趣。
Consumers of XML data returned from data-mining queries are often interested only in the data changes made since a previous query.
数据挖掘技术能有效地协助企业发现数据仓库数据中潜藏的特性曲线，这种曲线能帮助他们了解市场可能出现的变化。
It's helpful to find out the special curve which hide in the data Wavehouse's data through Datamining technology, the special curve can help people to analyse the changes of the market.
但是目前基于概念格的数据挖掘模型都是针对“静态”数据库，属性值只是从单层次上的数据中取值，缺少了信息粒度的变化。
While the existing models based on concept lattice aim at the static database and the attribute value is just from the single level, lacking of the transformation of granularity.
本文提出了一种专利情报趋势的挖掘方法，它能够识别专利趋势的变化而不需要专业知识的帮助。
In this paper, we propose a patent trend mining approach that can identify changes in patent trends without the need for specialist knowledge.
根据市场变化调整自身工作思路，积极跟进客户的动态，进行客户的深入挖掘工作。
4 according to the market changes and adjust their work ideas, actively follow up the customer's dynamic, in-depth excavation work for customer.
根据市场变化调整自身工作思路，积极跟进客户的动态，进行客户的深入挖掘工作。
4 according to changes in the market to adjust their ideas, actively follow up the customer's dynamic, in-depth excavation work for customers.
演员本身在其中将成为挖掘素材的主体，语言将作为重要的材料，呈现作品的跳跃变化。
All of actors and actresses in this story become the main part of excavated materials, language become the important element to reveal the variation of the theatre.
基于顾客偏好随时间变化的特性，采用聚类、关联规则等技术，对顾客偏好进行动态挖掘。
According to the characteristics of customer preference that changes with time, customer preferences are mined dynamically with such technologies as clustering and association rules.
施工企业面对日益苛刻的合同和变化多端的市场，需要从内部管理中挖掘潜力，实现盈利，增强市场竞争力。
Construction enterprises facing increasingly harsh contracts and the most changeful market need to tap potential from internal management, realize profit and increase market competitiveness.
在此，我们将挖掘究竟是哪些原因导致吉百利原始市场份额的变化。
From this, we will be able to determine the factors which caused the change of market shares original Cadbury has.
随着国内经济水平的提高以及施工技术、施工对象的变化，国内挖掘装载机的市场前景非常广阔。
Along with the advancing economy, the change of engineering techniques and engineering objects, the market prospect of backhoe loader at home is very broadness.
本文提出了一种挖掘新闻话题随时间变化的方法，通过话题抽取、话题过滤和话题关联实现话题的演化。
In this paper, we proposed a method to discover topic's evolution over time by topic detection, topic filtering and relating topics in different time periods.
通过考察训练前后学习者听力问题与策略使用关系来挖掘听力策略培养引起的变化或产生的作用。
It attempts to explore the effects of strategy training on the subjects by examining the relationship between their listening problems and their strategy use both before and after the training .
洞察市场的变化和需求，积极开拓挖掘潜在的渠道，完成区域内的销售指标。
Keep a closer eyes on market change and need, aggressively explore and develop potential new customers. Achieve sales target assigned by region and by area.
针对数据流的无限输入和动态变化等特点，提出一种新的基于距离的数据流离群点挖掘算法。
Concerning the infinite input and dynamic change in data stream environment, a new algorithm for detecting data stream outliers based on distance was proposed.
通过此模型使用基于动态数据流挖掘的案例推理技术，对数据进行实时挖掘，产生连续、动态的临时案例库，实现知识库的实时更新，从而满足实际问题变化的需要。
Through this model the system can mine real-time datum, produce continuous, dynamic temporary cases, update the knowledge base in real time and meet the needs of the practical problems.
研究数据流上的历史数据的变化趋势，并预测数据流在未来时间窗口内的可能值是数据流挖掘的一项重要工作。
It is also an important work to study the varying tendency of the historic stream data ina data stream and predict the possible values of the stream data in the future time window.
研究数据流上的历史数据的变化趋势，并预测数据流在未来时间窗口内的可能值是数据流挖掘的一项重要工作。
It is also an important work to study the varying tendency of the historic stream data ina data stream and predict the possible values of the stream data in the future time window.
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