Search results for "mining"

Induction of annexin-1 during TRAIL-induced apoptosis in thyroid carcinoma cells

2005

We investigated the expression of annexin-1 (ANXA1) in thyroid carcinoma cell lines and in thyroid cancers with a different degree of differentiation. The highest level of ANXA1 expression examined by Western blotting was detected in the papillary carcinoma cells (NPA) and in the follicular cells (WRO). On the other hand, the most undifferentiated thyroid carcinoma cells (ARO and FRO) presented the lowest level of ANXA1 expression. In surgical tissue specimens from 32 patients with thyroid cancers, we found high immunoreactivity for ANXA1 in papillary (PTC) and follicular (FTC) thyroid cancers while in undifferentiated thyroid cancers (UTC) the expression of the protein was barely detectabl…

Sequential Mining Classification

2017

Sequential pattern mining is a data mining technique that aims to extract and analyze frequent subsequences from sequences of events or items with time constraint. Sequence data mining was introduced in 1995 with the well-known Apriori algorithm. The algorithm studied the transactions through time, in order to extract frequent patterns from the sequences of products related to a customer. Later, this technique became useful in many applications: DNA researches, medical diagnosis and prevention, telecommunications, etc. GSP, SPAM, SPADE, PrefixSPan and other advanced algorithms followed. View the evolution of data mining techniques based on sequential data, this paper discusses the multiple …

Medical Data Mining for Heart Diseases and the Future of Sequential Mining in Medical Field

2018

Data Mining in general is the act of extracting interesting patterns and discovering non-trivial knowledge from a large amount of data. Medical data mining can be used to understand the events happened in the past, i.e. studying a patients vital signs to understand his complications and discover why he has died, or to predict the future by analyzing the events that had happened. In this chapter we are presenting an overview on studies that use data mining to predict heart failure and heart diseases classes. We will also focus on one of the trendiest data-mining field, namely the Sequential Mining, which is a very promising paradigm. Due to its important results in many fields, this chapter …

Overview on Sequential Mining Algorithms and Their Extensions

2018

The main purpose of data mining is to extract hidden, important and nontrivial information from a database. Sequential Pattern Mining is a data mining technique that aims to obtain and analyze frequent subsequences from sequences of events or items with or without time constraint. The importance of a sequence can be measured based on different factors such as the frequency of their occurrence, their length and also their profit. The pattern mining or the discovery of important and unexpected patterns and information was first introduced in 1990 with the well-known Apriori algorithm. Then, and after many studies on frequent pattern mining, a new approach appeared: Sequential Pattern Mining. …

Exploring automatic grouping procedures in ceramic petrology

2004

Although a small number of studies have attempted to introduce automatic grouping procedures into thin section petrography of archaeological ceramics, the majority of studies continue to be carried out by non-automatic means. Although such an approach with the single observer grouping samples has a number of advantages, it is problematic when dealing with large numbers of samples. This paper aims to explore different coding systems and statistical analyses for grouping ceramic thin sections. In the example discussed a number of variables are defined, codified and analysed by correspondence analysis, classical multidimensional scaling, non-metric isotonic multidimensional scaling and Sammon …

The President of the gold diggers: Sources of power in a gold mine in Burkina Faso

2003

The article provides an example of how 'formal' and 'informal' modes of power and legitimacy, as well as material and symbolic leadership resources, may intersect and interrelate. It analyses the sources of power that a Big Man in West Africa mobilised in order to appropriate mining rights and to establish leadership in a gold mining camp. As an entrepreneur in an economic field directly regulated by state laws and authorities, he has to operate within these structures while at the same time subverting them by creating a 'system of personal power' that resembles Sahlins' classic model of the Big Man in Melanesia. Although he is elected to represent the gold diggers, his leadership position …

Biomolecular study of the human remains from tomb 5859 in the Etruscan necropolis of Monterozzi Tarquinia (Vitarbo, Italy)

2004

Abstract Archaeological excavation in an Etruscan room tomb, from the Monterozzi necropolis in Tarquinia led to the recovery of four individuals. It was hypothesized that they could be members of a single family group. As both archaeological data and classical anthropological analysis provided little information in this direction, ancient DNA (aDNA) was extracted from bone and tooth fragments of the individuals. For each subject HVR-I of the mitochondrial DNA (mtDNA) was cloned and sequenced. To identify the sex of the individuals, amelogenine and SRY genes were analysed. Short tandem repeat (STR) characterization was also performed. DNA studies were preceded by the evaluation of amino acid…

Using mechanical experiments to study ground stone tool use: Exploring the formation of percussive and grinding wear traces on limestone tools

2021

Ground Stone Tools (GST) have been identified in several Levantine archaeological sites dating to the Middle Paleolithic. These tools, frequently made of limestone, are often interpreted based on their morphology and damage as having been used for knapping flint, and sometimes for breaking animal bones or processing vegetal materials as well. However, the lack of experimental referential collections on limestone is a major obstacle for the identification of diagnostic traces on these types of tools and raw material. In this sense, the understanding of the specific function of these GST and the association between tool types and activity often remains unknown or merely speculative. Recent di…

Dental Implants in the Third Millennium

2018

Towards more relevance-oriented data mining research

2008

Data mining (DM) research has successfully developed advanced DM techniques and algorithms over the last few decades, and many organisations have great expectations to take more benefit of their data warehouses in decision making. Currently, the strong focus of most DM-researchers is still only on technology-oriented topics. Commonly the DM research has several stakeholders, the major of which can be divided into internal and external ones each having their own point of view, and which are at least partly conflicting. The most important internal groups of stakeholders are the DM research community and academics in other disciplines. The most important external stakeholder groups are manager…