挖掘

Time to lay claim to the evidence fingerprints sell me out but our footprints washed away from the docks downtown it's been getting late for days and i feel myself deserving of a little time off we can kick it here for hours and just mouth off about the world and how we know it's going straight to hell pass me another bottle, honey the jaeger's so sweet but if it keeps you around, then i'm down meet me on thames street i'll take you out though i'm hardly worth your time in the cold, you look so fierce but i'm warming up because the tension's like a fire we'll hit south broadway in a matter of minutes and like a bad movie, i'll drop a line fall in the grave i've been digging myself but there's room for two six feet under the stars i should have known better than to call you out (on a night like this, a night like this) if not for you, i know i'd tear this place to the ground (but i'm all right like this, all right like this) i'm gonna roll the dice before you sober up and get gone i'm always in over my head thames street i'll take you out though i'm hardly worth your time in the cold, you look so fierce but i'm warming up because the tension's like a fire we'll hit south broadway in a matter of minutes and like a bad movie, i'll drop a line fall in the grave i've been digging myself but there's room for two six feet under the stars time to lay claim to the evidence fingerprints sell me out but our footprints washed away i'm guilty, but i'm safe for one more day overdressed and underage do you really need see an id?

时间觊觎的证据指纹出卖我但我们的足迹冲走从市区码头它已经很晚了天我觉得自己一个小假值得我们可以在这里踢了几个小时和公正的嘴把对世界的以及我们如何知道这将直接进入地狱通过我的另一瓶，蜂蜜在耶格的如此甜蜜但如果它使你周围，那我下我会晤泰晤士街我会带你出去虽然我不值得你的时间在寒冷的，你看看如此激烈但我升温因为像火紧张的我们会击中在几分钟内南百老汇像一个糟糕的电影，我将下降1线下降的严重我一直在挖掘自己但是有两个房间六英尺下的星星我应该知道比给你打电话了（在这样的夜晚，这样的夜晚）如果不是你，我知道我会撕这个地方到地面（但我这样的权利，都喜欢这样的权利）我要去滚骰子在你清醒过来，得到了我总是在我头上泰晤士街我会带你出去虽然我不值得你的时间在寒冷的，你看看如此激烈但我升温因为像火紧张的我们会击中在几分钟内南百老汇像一个糟糕的电影，我将下降1线下降的严重我一直在挖掘自己但是有两个房间六英尺下的星星时间觊觎的证据指纹出卖我但我们的足迹冲走我有罪，但我一个更安全的一天打扮和未成年你真的需要看到一个ID？

Will be left; The level crowding length is 40% of digging reach, so that the bucketfilling factor

水平挖掘推进，不形成开采"底根"；●挖掘半径的水平推压行程，提高满斗充斗系数；40

A new sequential pattern algorithm based on depth-first search strategy is introduced and the mining mechanism based on lexicographic tree is presented in this paper.The data structure of bitmap is used in order to save and calculate the support of sequences fast.

提出了基于位图深度优先挖掘算法，采用基于字典树数据结构的深度优先策略，同时采用位图保存和计算各序列的支持度，能够较迅速地挖掘出频繁序列。

The author made in-depth research and analysis in Web log mining. In this paper, by mining Web log,some user browsing patterns are discovered such as association rule, clustering pattern, accessing path and so on. Then those patterns are applied to design Web site and improve Web function.

本文作者对Web日志挖掘作了系统性的研究，通过对Web日志的挖掘，找出用户浏览页面的关联规则、聚类信息、访问路径等，并把它们应用到Web站点的智能化设计中。

Based on User Session File, which is the result of the preprocessing phase of Web Log Mining, this paper presents a Web Log Mining method for the recognition of user's browse patterns under the Extended Oriented-Tree model. Further more, the method is implemented basically in our lab and tested using real web log data.

本文从Web日志挖掘过程预处理阶段的结果用户会话文件开始，提出了一种基于扩展有向树模型进行用户浏览模式识别的Web日志挖掘方法，并在实验室对该方法进行了简单实现和实际日志数据的测试。

So, this paper, based on mathematical expectation, brought up the concept of the positively correlated frequent itemsets, and improved the algorithm of mining frequent itemsets directly in FP-tree to mine positively correlated frequent itemsets. In this way, a solution to the above mentioned problems was got.

针对以上问题，基于数学期望，提出了正相关的频繁项集的概念，并改进了一种直接在FP-树中挖掘频繁项集的算法，挖掘出正相关的频繁项集，从而有效地解决以上问题。

Especially extracting information of protein-protein interaction from MEDLINE abstract is regarded as one of the most important task today.

实体识别准确率的高低直接影响着数据挖掘系统的好坏与否，因此实体识别在生物医学文献的挖掘中成为关键性的一步。

Nowadays, limited memory can not satisfy the requirements of constantly increasing data.

由于计算机的内存有限，数据窗口技术只针对最近的数据，而最近的数据常常导致数据挖掘系统中的分类器过配，文中介绍了解决这一问题的方法，并讨论了数据流挖掘技术的应用。

Association rules mining is a very active field in data mining and there are many algorithms today. In this field, the most classical algorithm is Apriori put forward by Agrawal et. al and it is used widely. The paper analyzes the advantages an disadvantages of Apriori, AprioriTid and AprioriHybrid algorithm in mining association rules. To solve the bottle of AprioriHybrid algorithm, a Support-Matrix method to rapidly verify the 2-frequent itemsets is put forward. To accelerate the speed of verify the k-frequent itemsets, a simple and highly efficient method of minimizing the trade database is given. All these two methods improve the efficiency of AprioriHybrid method.

关联规则挖掘是数据挖掘中一个非常活跃的领域，当前有许多种算法，最经典并被广泛使用的是Agrawal等人提出的Apriori算法及其衍生算法，本文分析了Apriori，AprioriTid和AprioriHybrid算法的优缺点，针对AprioriHybrid算法的瓶颈提出一种使用支持度矩阵对频繁2项集快速验证的方法，并给出一种简单易行，而又高效的逐步缩减交易数据库的方法，加快对候选频繁k项集的验证速度，从而提高了AprioriHybrid算法的效率。

We suggest that constraint and multidimensional techniques should be applied in data mining.

6为了提高数据挖掘的效率，提出了采用约束和多维技术的方法进行数据挖掘。

Neither the killing of Mr Zarqawi nor any breakthrough on the political front will stop the insurgency and the fratricidal murders in their tracks.

在对危险的南部地区访问时，他斥责什叶派民兵领导人对中央集权的挑衅行为。

In fact,I've got him on the satellite mobile right now.

实际上 我们已接通卫星可视电话了