--World Wide Web is rapidly increasing with huge amount of user’s interactions. Web usage mining (WUM) is the process of extracting navigation behavior of user information in the Web-based environments. The user’s access on the webpage information is stored in the web server logs. This paper discusses the preprocessing phase in web usage mining. The server log files must be preprocessing before applying some data mining techniques to predict pattern for pattern analysis. The main work of preprocessing is to eliminate noisy and unrelated data. This paper mainly concentrates about the first preprocessing task i.e. field extraction .The field extraction algorithm is used to divide the single line of the web log file. The data cleaning algorithm is used to prune such a noisy data which is not important for the purpose of analysis, thus improve the quality and efficiency of the data. KeywordsWorld Wide Web; Web Mining; Preprocessing;
The explosive growth of Internet has given rise exclusively on the web server log. The prediction of user navigation pattern can be determined using web log file which contains the massive hidden valuable information pertaining to the visitors. The extraction of useful information from these data has proved to be very useful for optimizing Web Sites and Promotional Campaigns for marketing. But discovering the frequent web user navigation pattern is a very toughest challenge in web log file. The paper concentrates the web usage mining topic; it is one of the intensive research quarters as its latent for the tailored services and adaptive web sites. This proposed work focuses on adapting a fuzzy based inference system to generate a set of rules from the clustered pattern more efficiently and effectively for identifying the significant user navigation pattern. This paper starts with the preprocessing of the given weblog, followed by clustering them and finding correlation based Fuzzy rule mining. These rules provide knowledge that helps to improve the website designing, in advertising, web personalization while comparing with two existing approaches fuzzy association rule mining and association rule mining.
Nowadays it is incredible to see the continuous increasing growth of World Wide Web. The website may likewise be accessed for various website design tasks still the web user waste lot of time in web to surf interesting information from it. Thus it leads to focus on web usage mining to develop a knowledge based system for learning about web user’s behavior and user interactions with the website. This paper put forth problem in identification of pattern discovery in user navigation pattern with in a session. The vagueness in clustering the similar user session is overwhelmed in this proposed work by devising a Fuzzy roughest based Jaccard similarity measure which utilizes membership function to perform clustering process. The result shows that there is a considerable improvement in interaction of intra clustering while comparing the traditional roughest theory.
In the present study, the performance of different exchange–correlation functional of DFT for van der Waals molecules has been studied by optimising the structures with augmented cc-pVTZ basis sets. The structural parameters along with vibrational frequencies and rotational constants were calculated using 15 different exchange–correlations functional for 10 molecules and compared with experimental results. Further the interaction energies (basis set superposition error corrected) were calculated using different DFT exchange–correlation functional and compared with MP2 and CCSD(T) method. The error analysis was carried out using MUE (mean unsigned error) and MAPE (mean absolute percentage error) statistical methods.
This paper presents the preparation and spectroscopic characterization of Dy3+-doped sodium fluoroborate (SFB) glasses of the type (50-x) B2O3 + 25 Na2O + 10 CaF2 + 10 AlF3 + 5 LaF3 + x DyF3 (x = 0.01, 0.1, 0.5,1.0, 2.0 and 4.0 mol%). By measuring the area under absorption bands, the experimental oscillator strengths are determined. The Judd-Ofelt (J-O) intensity parameters Ωλ (λ = 2, 4, 6) are evaluated by the least square fit method. These phenomenological parameters are used to predict luminescence properties of the lanthanide ions in SFB glasses. Photoluminescence spectra and lifetimes of 4F9/2 level of Dy3+ ions in these glasses have been measured by exciting with 348 nm line of xenon flash lamp. The measured decay curves exhibit single exponential at lower concentrations of 0.01, 0.1, 0.5 and 1.0 mol% and non-exponential at higher concentrations of 2.0 and 4.0 mol%. The predicted τR and (βR values of 4F9/2 transition are compared with the experimentally measured values. From the magnitude of stimulated emission cross sections (σe), branching ratios (βm), multiphonon relaxation rates (WMP), the most potential laser transitions are identified and the utility of these glasses as laser active material is discussed.
A metabolism trial was conducted in adult male goats to find out the, nutrient utilization and nutritive value of hand-plucked fresh cashew (Anacardium occidentale) tree leaves. Cashew leaves contained DM 38.12, OM 94.33, CP 9.50, EE 1.81, CF 24.81, NDF 47.60, ADF 37.77, ADL 31.37, Ca 0.64 and P 0.50%. Dry matter intake was 1.44 kg % of body weight or 27.82g per kg metabolic body weight. Higher level of lignin possibly reflected in the reduced DM intake and digestibility of nutrients. Digestibility of DM, OM, CP, EE, NDF and ADF, was 37.41, 41.99, 44.10, 61.09, 30.70 and 35.15% respectively. The nutritive value of fresh leaves was 4.19% DCP and 40.99% TDN. Nutrients retention per day for nitrogen, calcium and phosphorus was 0.88, 0.42 and 0.26g/d respectively. Values of retention, in terms of per cent of absorption were 64.7 for nitrogen, 81.6 for calcium and 99.6 for phosphorus. The results revealed that fresh cashew leaves when used as a sole feed, did not provide sufficient nutrients for maintenance of adult goats.
The present work reports the spectroscopic properties of 1mol% Eu2O3 in alkali tellurofluorophosphate glasses 50(NaPO3)6+10 TeO2+20 AlF3+19RF+1Eu2O3 (R=Li, Na and K) by using absorption, emission and decay measurements. The phenomenological Judd–Ofelt (J–O) intensity parameters Ω2 and Ω4 were obtained from the emission intensities of 5D0→7F2 and 5D0→7F4, respectively by taking the magnetic dipole 5D0→7F1 emission band intensity as reference. The radiative parameters such as spontaneous emission probabilities (AR), lifetimes (τ), branching ratios (β) for different excited states have been predicted theoretically. The branching ratios were also determined by the areas under the emission bands and are compared with those of the predicted values. The predicted and experimental lifetimes for the 5D0 level in alkali tellurofluorophosphate glasses were compared and discussed in detail.