迄今为止，支持这一假设的数据并不是特别有说服力。
So far, data to support this hypothesis are not particularly compelling.
现在您必须收集数据并用它来证实您的假设。
Now you must collect data and use it to validate your hypothesis.
但是假设想获得公司数据的一个序列。
让我们假设针对组织数据的请求来自于销售部门。
Let's assume a request for organization data comes from the sales department.
然而，如果达尔文错了，假设数据的成因是各种内部因素。
Suppose, however, that Darwin got this wrong and various internal factors account for the data.
或者，假设您想搜索包含P DF数据的ifs流文件。
Or suppose you want to search IFS stream files that contain PDF data.
注意：本文假设您了解在Lotus Approach中创建数据库的方法。
NOTE: This article assumes that you know how to create databases in Lotus Approach.
我们假设您已经适当创建了一个具有模式的空的目标数据库。
We assume you have already created an empty target database with schema in place.
假设您需要创建和维护一组不同的数据源定义。
Suppose you need to create and maintain a separate set of data source definitions.
问题：假设数据库a是激活的。
假设我们希望永存的是硬盘上的数据。
Suppose the object we want to make immortal is the data on a hard drive.
现在假设攻击者发送了超过buffer 1所能处理的数据。
Now imagine that an attacker has sent more data than buffer1 can handle.
本文假设您对InitiatePatient及其数据结构有基本的了解。
The article assumes you have a basic understanding of Initiate Patient and its data constructs.
假设数据源的资源引用被标记为unshareable。
Assume the resource reference of the data source is marked as Unshareable.
现在，假设数据库中的数据已经存储为xml格式。
Now if the data in the database is already stored in XML with.
假设希望设置DB 2数据库连接的CURRENTschema值。
Suppose you want to set the CURRENT SCHEMA value for your DB2 database connection.
把它们两者都写出来，去选择假设，目的和数据的最佳组合。
Write them both down, and pick the best combinations of hypotheses, objectives and data.
最终验证了假设并通过数据得出进一步的结论。
At last all the hypotheses are proved and we get more in data mining.
假设你要搜索的数据库中的拉维纪录。
Suppose you want to search the record of Ravi in the database.
例如，假设有一个读取文件并格式化相应数据的方法。
For example, suppose you have a method that reads a file and formats the data.
现在假设你拥有此数据模式作为你的起点。
Now pretend you have the data schema as your starting point.
数据的分析结果支持了提出的假设。
数据的分析结果支持了提出的假设。
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