Abstract. Due to the dynamic nature of online information, XML doc-uments typically evolve over time. The change of the data values or struc-tures of an XML document may exhibit some particular patterns. In this paper, we focus on the sequence of changes to the structures of an XML document to find out which subtrees in the XML structure frequently change together, which we call Frequently Changing Subtree Patterns (FCSP). In order to keep the discovered patterns more concise, we fur-ther define the problem of mining maximal FCSPs. An algorithm derived from the FP-growth is developed to mine the set of maximal FCSPs. Ex-periment results show that our algorithm is substantially faster than the naive algorithm and it scales well with respect ...
The role of the eXtensible Markup Language (XML) is be- coming very important in the research elds ...
Abstract — The enormous amount of internet causes huge amount of data to be stored and processed whi...
The increasing amount of very large XML datasets available to casual users is a challenging problem ...
Recently, there is an increasing research efforts in XML data mining. These research efforts largely...
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing seman...
In the recent years, a large amount of work has been done and researched on XML data mining. Most of...
Recently, there is an increasing research efforts in XML data mining. These research efforts largely...
The role of the eXtensible Markup Language (XML) is becoming very important in the research fields f...
IEEE Comp Soc, TCCI, IEEE Comp Soc, TCPAMI, IBM Res, StatSoft Ltd, Web Intelligence ConsortiumRe...
With the widespread use of XML data stream, discovering knowledge from it becomes important. Compare...
With XML being the standard for data encoding and exchange over Internet, how to manage XML data eff...
Abstract—The inherent flexibilities of XML in both structure and semantics makes mining from XML dat...
In this paper, we study an online data mining problem from streams of semi-structured data such as X...
Second IEEE International Conference on Data Mining (ICDM\u2702), 9-12 Dec. 2002In this paper, we st...
Abstract- Extracting information from semi structured documents is difficult task. It is more crucia...
The role of the eXtensible Markup Language (XML) is be- coming very important in the research elds ...
Abstract — The enormous amount of internet causes huge amount of data to be stored and processed whi...
The increasing amount of very large XML datasets available to casual users is a challenging problem ...
Recently, there is an increasing research efforts in XML data mining. These research efforts largely...
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing seman...
In the recent years, a large amount of work has been done and researched on XML data mining. Most of...
Recently, there is an increasing research efforts in XML data mining. These research efforts largely...
The role of the eXtensible Markup Language (XML) is becoming very important in the research fields f...
IEEE Comp Soc, TCCI, IEEE Comp Soc, TCPAMI, IBM Res, StatSoft Ltd, Web Intelligence ConsortiumRe...
With the widespread use of XML data stream, discovering knowledge from it becomes important. Compare...
With XML being the standard for data encoding and exchange over Internet, how to manage XML data eff...
Abstract—The inherent flexibilities of XML in both structure and semantics makes mining from XML dat...
In this paper, we study an online data mining problem from streams of semi-structured data such as X...
Second IEEE International Conference on Data Mining (ICDM\u2702), 9-12 Dec. 2002In this paper, we st...
Abstract- Extracting information from semi structured documents is difficult task. It is more crucia...
The role of the eXtensible Markup Language (XML) is be- coming very important in the research elds ...
Abstract — The enormous amount of internet causes huge amount of data to be stored and processed whi...
The increasing amount of very large XML datasets available to casual users is a challenging problem ...