Opinions of the Supreme Court and Court of Appeals of South Carolina advance sheet no. 38

The Clerk of Court’s Office publishes the South Carolina Advance Sheets that contain the published opinions and orders of the Supreme Court and the Court of Appeals, along with notices, rule changes and other documents of general interest

Opinions of the Supreme Court and Court of Appeals of South Carolina advance sheet no. 39

The Clerk of Court’s Office publishes the South Carolina Advance Sheets that contain the published opinions and orders of the Supreme Court and the Court of Appeals, along with notices, rule changes and other documents of general interest

Opinions of the Supreme Court and Court of Appeals of South Carolina advance sheet no. 40

The Clerk of Court’s Office publishes the South Carolina Advance Sheets that contain the published opinions and orders of the Supreme Court and the Court of Appeals, along with notices, rule changes and other documents of general interest

Opinions of the Supreme Court and Court of Appeals of South Carolina advance sheet no. 41

The Clerk of Court’s Office publishes the South Carolina Advance Sheets that contain the published opinions and orders of the Supreme Court and the Court of Appeals, along with notices, rule changes and other documents of general interest

Opinions of the Supreme Court and Court of Appeals of South Carolina advance sheet no. 42

The Clerk of Court’s Office publishes the South Carolina Advance Sheets that contain the published opinions and orders of the Supreme Court and the Court of Appeals, along with notices, rule changes and other documents of general interest

Opinions of the Supreme Court and Court of Appeals of South Carolina advance sheet no. 43

The Clerk of Court’s Office publishes the South Carolina Advance Sheets that contain the published opinions and orders of the Supreme Court and the Court of Appeals, along with notices, rule changes and other documents of general interest

Opinions of the Supreme Court and Court of Appeals of South Carolina advance sheet no. 44

The Clerk of Court’s Office publishes the South Carolina Advance Sheets that contain the published opinions and orders of the Supreme Court and the Court of Appeals, along with notices, rule changes and other documents of general interest

Opinions of the Supreme Court and Court of Appeals of South Carolina advance sheet no. 45

The Clerk of Court’s Office publishes the South Carolina Advance Sheets that contain the published opinions and orders of the Supreme Court and the Court of Appeals, along with notices, rule changes and other documents of general interest

HCX : an efficient hybrid clustering approach for XML documents

This paper proposes a novel Hybrid Clustering approach for XML documents (HCX) that first determines the structural similarity in the form of frequent subtrees and then uses these frequent subtrees to represent the constrained content of the XML documents in order to determine the content similarity. The empirical analysis reveals that the proposed method is scalable and accurate.

XCFS - a novel approach for clustering XML documents using both the structure and the content

XML document clustering is essential for many document handling applications such as information storage, retrieval, integration and transformation. An XML clustering algorithm should process both the structural and the content information of XML documents in order to improve the accuracy and meaning of the clustering solution. However, the inclusion of both kinds of information in the clustering process results in a huge overhead for the underlying clustering algorithm because of the high dimensionality of the data. This paper introduces a novel approach that first determines the structural similarity in the form of frequent subtrees and then uses these frequent subtrees to represent the constrained content of the XML documents in order to determine the content similarity. The proposed method reduces the high dimensionality of input data by using only the structure-constrained content. The empirical analysis reveals that the proposed method can effectively cluster even very large XML datasets and outperform other existing methods.

Thai word segmentation with hidden Markov Model and decision tree

The Thai written language is one of the languages that does not have word boundaries. In order to discover the meaning of the document, all texts must be separated into syllables, words, sentences, and paragraphs. This paper develops a novel method to segment the Thai text by combining a non-dictionary based technique with a dictionary-based technique. This method first applies the Thai language grammar rules to the text for identifying syllables. The hidden Markov model is then used for merging possible syllables into words. The identified words are verified with a lexical dictionary and a decision tree is employed to discover the words unidentified by the lexical dictionary. Documents used in the litigation process of Thai court proceedings have been used in experiments. The results which are segmented words, obtained by the proposed method outperform the results obtained by other existing methods.

Effective pattern taxonomy mining in text documents

Many data mining techniques have been proposed for mining useful patterns in databases. However, how to effectively utilize discovered patterns is still an open research issue, especially in the domain of text mining. Most existing methods adopt term-based approaches. However, they all suffer from the problems of polysemy and synonymy. This paper presents an innovative technique, pattern taxonomy mining, to improve the effectiveness of using discovered patterns for finding useful information. Substantial experiments on RCV1 demonstrate that the proposed solution achieves encouraging performance.