当我搜索关键字“数据”时,我会在数字图书馆中获取纸张:
Many organizations often underutilize their existing <span class='snippet'>data</span> warehouses. In this paper, we suggest a way of acquiring more information from corporate <span class='snippet'>data</span> warehouses without the complications and drawbacks of deploying additional software systems. Association-rule mining, which captures co-occurrence patterns within <span class='snippet'>data</span>, has attracted considerable efforts from <span class='snippet'>data</span> warehousing researchers and practitioners alike. Unfortunately, most <span class='snippet'>data</span> mining tools are loosely coupled, at best, with the <span class='snippet'>data</span> warehouse repository. Furthermore, these tools can often find association rules only within the main fact table of the <span class='snippet'>data</span> warehouse (thus ignoring the information-rich dimensions of the star schema) and are not easily applied on non-transaction level <span class='snippet'>data</span> often found in <span class='snippet'>data</span> warehouses
如何删除所有代码<span class='snippet'>..</span>
,但仍然保持keywod数据具有类似的结果:
许多组织经常未充分利用其现有的数据仓库。在本文中,我们建议一种从企业数据仓库获取更多信息的方法,而没有部署其他软件系统的复杂性和缺点。关联规则挖掘捕获数据中的共现模式,吸引了数据仓库研究人员和从业人员的相当大的努力。不幸的是,大多数数据挖掘工具充其量只与数据仓库存储库耦合。此外,这些工具通常只能在数据仓库的主要事实表中找到关联规则(因此忽略了星型模式的信息丰富的维度),并且不容易应用于数据仓库中常见的非事务级数据
答案 0 :(得分:2)
strip_tags()
是你的朋友。 Code kindly copied from here。
public static String strip_tags(String text, String allowedTags) {
String[] tag_list = allowedTags.split(",");
Arrays.sort(tag_list);
final Pattern p = Pattern.compile("<[/!]?([^\\\\s>]*)\\\\s*[^>]*>",
Pattern.CASE_INSENSITIVE);
Matcher m = p.matcher(text);
StringBuffer out = new StringBuffer();
int lastPos = 0;
while (m.find()) {
String tag = m.group(1);
// if tag not allowed: skip it
if (Arrays.binarySearch(tag_list, tag) < 0) {
out.append(text.substring(lastPos, m.start())).append(" ");
} else {
out.append(text.substring(lastPos, m.end()));
}
lastPos = m.end();
}
if (lastPos > 0) {
out.append(text.substring(lastPos));
return out.toString().trim();
} else {
return text;
}
}