نتایج جستجو برای: data mining segmentation
تعداد نتایج: 2490718 فیلتر نتایج به سال:
this article of focused on data mining, which is very complex to recognize the correct, new models which are potentially useful in data, hence they will be useful, and acceptable for all humans. data mining is also called the exploration of knowledge, is the process of data analysis in the different aspect to summarize them into the suitable information, which is able to increase profits and to...
Customer segmentation is usually the first step towards customer analysis and helps to make strategic plans for a company. Similarity between customers plays a key role in customer segmentation, and is usually evaluated by distance measures. While various distance measures have been proposed in data mining literature, the desirable distance measures for various data sources and given applicatio...
Social media has become the main area for advertising, events, campaigns, protests etc. in recent years. It offers public a forum expressing their opinions and beliefs to masses. The user beliefs, habits interests of businesses are extremely important give users glimpse into thinking. Data mining is one tools that enables these extract useful information from data can be examined generate set k...
The present study was conducted with the aim of the effects of segmentation and redundancy methods on cognitive load and vocabulary learning and comprehension of English lessons in a multimedia learning environment.The purpose of this study is an applied research and a real experimental study. The statistical population of the present study includes all people aged 14 to 16 who are enrolled in ...
magnetic resonance imaging (mri) is a notable medical imaging technique that makes of phenomenon of nuclear magnetic resonance. because of the resolution and the technology being harmless, mri has considered as the most desirable imaging technique in clinical applications. the visual quality of mri plays an important role in accuracy of medical delineations that can be seriously degraded by exi...
Concept Relation Discovery and Innovation Enabling Technology (CORDIET), is a toolbox for gaining new knowledge from unstructured text data. At the core of CORDIET is the C-K theory which captures the essential elements of innovation. The tool uses Formal Concept Analysis (FCA), Emergent Self Organizing Maps (ESOM) and Hidden Markov Models (HMM) as main artifacts in the analysis process. The us...
This paper is a brief introduction to the concepts, methods and algorithms for data mining in statistical software R using a package named Rattle. Rattle provides a good graphical environment to perform some of the procedures and algorithms without the need for programming. Some parts of the package will be explained by a number of examples. ...
Background and purpose: Today, information systems and databases are widely used and in order to achieve higher accuracy and speed in making diagnosis, preventing the diseases, and choosing treatments they should be merged with traditional methods. This study aimed at presenting an accurate system for diagnosis of diabetes using data mining and a heuristic method combining neural network and pa...
background: laparoscopy or minimally invasive surgery is a surgical procedure in which laparoscope and other surgical instruments are inserted inside body via a few small incisions. laparoscope is used to look inside the patient's body and records displayed images. temporal segmentation of laparoscopic videos has many applications like detecting laparoscopic anomalies and interrupts. it is prer...
Describing an object in two ways or shifting the vocabulary of the same concept is Redescription. Not a new problem, Redescription Mining premise had resulted the subsets of objects that afford multiple definitions, in a given Universal set of the same, and a collection of features to describe them. Now-a-days, huge amounts of data available either to classify or to categorize leads us to ambig...
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