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This paper presents a first approach to try to determine if a newborn will be macrosomic before the labor, using a set of data taken from the mother. The problem of determining if a newborn is going to be macrosomic is important in order to plan cesarean section and other problems during the labor. The proposed model to classify the weight is a neural network whose design is based recent algorithms...
In the last few years, several works in the literature have addressed the problem of data extraction from Web pages. The importance of this problem derives from the fact that, once extracted, data can be handled in a way similar to instances of a traditional database, which in turn can facilitate application of Web data integration and various other domain specific problems. In this paper, we propose...
Gene and protein structural and functional annotations expressed through controlled terminologies and ontologies are paramount especially for the aim of inferring new biomedical knowledge through computational analyses. However, the available annotations are incomplete, in particular for recently studied genomes, and only a few of them are highly reliable human curated information. To support and...
Using concepts from rough set theory we investigate the existence of approximative descriptions of collections of objects that can be extracted from in data set, a problem of interest for biologists that need to find succinct descriptions of families of taxonomic units. Our algorithm is based on an anti-monotonicity of borders of object set and makes use of an approach that is, in a certain sense,...
GML is a markup language presented as exchange standard for geographic information by the OGC (Open GIS Consortium). In spatial network databases, researches for supporting GML (Geographic Markup Language) can be divided into parsing, storing and retrieval of GML documents. Among them, the study on the storage of GML documents is essential for their efficient retrieval. However there is little research...
The structured query language (SQL) of relational database models does not have the expressive power to implement recursive queries. Consequently, recursive queries are implemented as an application program in the host language. The newly developed XML schema provides a different setting for database design and query implementation. In this paper, we design and implement an XML schema and a set of...
This work addresses a novel spatial keyword query called the m-closest keywords (mCK) query. Given a database of spatial objects, each tuple is associated with some descriptive information represented in the form of keywords. The mCK query aims to find the spatially closest tuples which match m user-specified keywords. Given a set of keywords from a document, mCK query can be very useful in geotagging...
Recently, with wide-spread of distributed systems, distributed monitoring systems are needed to mange such systems. However, since monitoring architecture of distributed system faces a huge amount of log data which come from local computing nodes, information aggregation is fundamental scheme for monitoring distributed system. In this paper, we preset a novel approach for extracting computing node-condition...
Recently, radio frequency identification (RFID) technology is being deployed for several applications, including supply-chain optimization, business process automation, asset tracking, and problem traceability applications. The problem with RFID data is that its degree increases according to time and location, thus, resulting in an enormous volume of data duplication. Therefore, it is difficult to...
Mining sequential pattern in time series data is broadly used in a variety of areas in order to make a prediction, and an appropriate model should be established before the prediction can be done, therefore, the way how to mine out time series pattern from time series database becomes extremely important. Based on data of the time series database, this paper presents a new frequent time series pattern...
In this paper we address the problem of XML document normalization and their reconstruction using XQuery. Instead of one type of XML documents, we consider a set of different types of XML documents presenting the same data to different kinds of users. This consideration influences the normalization because more types of redundancies can appear. The presented technique is not based on logical XML schemas...
The present work addresses probabilistic solution of two fundamental issues of cellular mobile environment maintaining a common set of information. One of the issues is to predict the location of a mobile user whereas the other is to predict the traffic load of each area and accordingly distribute channels among different areas. For location management the entire area covered by cellular architecture...
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algorithms, MHUI-BIT and MHUI-TID, for mining high utility itemsets from data streams within a transaction-sensitive sliding window. Two effective representations of item information and an extended lexicographical tree-based...
It is obvious that product variation and customization have become the current trend to fulfill the customer requirements in severe competitive environment. However, how to manage the ever-increasing number of variant products becomes a critical challenge for enterprises. To address this problem, this research proposes a common module mining method to derive common modules from variant products. First,...
Systematics is a specification language designed for automatic code generation. Systematics uniquely provides auto-provability by virtue of the inclusion of ldquosystem timerdquo as an inherent characteristic of information. A code generator based on Systematics is described which, unlike other code generators, requires no computing expertise on the part of the user, and is not limited to any specific...
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