نتایج جستجو برای: which can predict continuous numerical attributes thus

تعداد نتایج: 5568962  

2004
Chunbin Tang Weidong Zhao

Clustering over categorical attributes is an important yet tough task. In this paper, we present a new algorithm K-meansII to extend the famous K-means algorithm which is efficient only on numerical clustering, by using new cluster center definitions and new similarity measures. Thus, our algorithm can be used in categorical clustering while preserving the efficiency. Experiments on both real-l...

In the present work‎, ‎a new stochastic algorithm is proposed to solve multiple dimensional Fredholm integral equations of the second kind‎. ‎The solution of the‎ integral equation is described by the Neumann series expansion‎. ‎Each term of this expansion can be considered as an expectation which is approximated by a continuous Markov chain Monte Carlo method‎. ‎An algorithm is proposed to sim...

2016
Besim Bilalli Alberto Abelló Tomàs Aluja-Banet Robert Wrembel

A data mining algorithm may perform differently on datasets with different characteristics, e.g., it might perform better on a dataset with continuous attributes rather than with categorical attributes, or the other way around. As a matter of fact, a dataset usually needs to be pre-processed. Taking into account all the possible pre-processing operators, there exists a staggeringly large number...

Journal: :Data Mining and Knowledge Discovery 2016

Background and Objective: The coping skills that include continuous changes in think and behavior of persons for interior and exterior stress management, relate with several factors which family function can be one of them. So, this study aimed to assess the relation between family function and coping styles with stressful situations among female students of Isfahan University in 2013 Ma...

سعادت‌پور, محمدمهدی, شیرمحمدی, فاطمه,

In this article spectral modal method is developed for studying wave propagation in thin plates with constant or variable thickness. Theses plates are subjected to the impact forces and different boundary conditions. Spectral modal method can be considered as the combination of Dynamic Stiffness Method (DSM), Fourier Analysis Method (FAM) and Finite Stripe Method (FSM). Using modeling of contin...

Journal: :Information 2022

Any information is (transported as) a selection from an ordered set, which the “domain” of information. For example, any piece digital number sequence that represents such selection. Its senders and receivers (with software) should know format domain in uniform way worldwide. So far, this not guaranteed. However, it can be guaranteed after introduction new “Domain Vector” (DV) data structure: “...

Journal: :پژوهش های خاک 0
محمد امیدی فرد دانش آموخته کارشناسی ارشد دانشگاه شیراز سید علی اکبر موسوی استادیار دانشگاه شیراز

hydraulic attributes play important role in hydrological studies, soil conservation, designing irrigation and drainage systems, soil conservation, and controlling soil erosion in watersheds. their measurements are very tedious and time consuming and due to high spatial variability, a large number of measurements are required for obtaining reliable values. nowadays, prediction of these attribute...

2009

For wireless sensor networks, minimizing communication is crucial to improve energy consumption and thus lifetime. Whereas the standard way to deal with transmission errors is retransmission (automatic repeat request ARQ), in this paper we investigate an alternative: correcting bit errors using Cyclic Redundancy Checks CRCs (which are already used for error detection). Selected CRC polynomials ...

2012
Josep Domingo-Ferrer Krishnamurty Muralidhar Guillem Rufian-Torrell

Often microdata sets contain attributes which are neither numerical nor ordinal, but take nominal values from a taxonomy, ontology or classification (e.g. diagnosis in a medical data set about patients, economic activity in an economic data set, etc.). Such data sets must be anonymized if transferred outside the data collector’s premises (e.g. hospital or national statistical office), say, for ...

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