[PDF] Top 20 Title: An Enhanced Model for the Classification of Mined Data

... the model which expresses the feature of the sentence, the K-Nearest Neighbour and Euclidean Distance Classifier has been proposed, each sentence can be represented as a vector Si = (wi1;wi2; :::;wim) of features ... See full document

... when data has to be stored on the ...the data can be only visible to the user who is successfully authenticated to the ...servers, enhanced security in cloud environment can be ... See full document

... important data classes within the given ...the model is created by applying classification algorithm on training data ...extracted model is tested against a predefined test dataset to ... See full document

... textual data and aims for e xtraction of interesting facts and relationships and discovery of knowledge fro m large a mounts of te ...as data mining, information retrieva l, statistics, mathematics, mach ... See full document

... and data warehouse, neural network, artificial intelligence and machine ...learning[12]. Data mining is the process of extracting valid information from large ...databases. Data mining used in many ... See full document

... and data mining was ...patients’ data were done. In data mining phase the selected patients’ features were mined using Associative Classification (AC) technique to generate a set of ... See full document

... 2 Hence, we expose the safety and secrecy of private and personal information to danger in this way. We can see, even in this new kind of data storage and accessing system, information is even being stolen. We ... See full document

... The contribution of CHAID is enormous for discovering the masked pattern to get an accurate prediction. The higher death rate for breast cancer among female between age 42 and 52 is 25.8% (Table 1) whereas the decision ... See full document

... i.e. Enhanced Malicious URLs Detection (EMUD) model is proposed to combat against aforesaid ...EMUD model. EMUD model has more effective detection capabilities as it includes more detection ... See full document

... the enhanced classifier (Multi class classifier with random Forest) to the tested data set from the pre-processed phase, clean data set from remove duplication phase and origin 10% KDD Cup 99 with 23 ... See full document

... Traditional data-to-text generation approaches perform the summary generation in two separate steps: content selection and surface ...input data and output summaries (Duboue and McKeown, 2001, ...collective ... See full document

... unwanted data in equal groups. The model has two main restrictions, one on the total number of machines and another on the memory available on each ...the model there are N1−γ machines, each with ... See full document

... multi-label classification and cost-sensitive multi-label ...training model time cost of making prediction is quite less and the computational complexity of BP-MLL is ...unlabeled data for predict ... See full document

... of data and delivery became the prime ...the data is stored and shared to multiple users. The data can easily lose, dropped or corrupted due to software fault or network ...cloud data without ... See full document

...  Validating the model empirically by conducting experiments and analysing the segment level mined data. The remainder of this paper is organized as follows: Section II would highlight the related ... See full document

... Big data technologies are important in providing more accurate analysis, which may lead to more concrete decision-making resulting in greater operational efficiencies, cost reductions, and reduced risks for the ... See full document

... centralized data publisher. Sender sites are responsible to send data intermittently to data publisher for ...the data publisher’s end. Data Size is another parameter on which ... See full document

... of data mining techniques had contributed in handling of new kinds of data types and ...of data mining and its application in medical domain is still young enough so that the possibilities of the ... See full document

... These mined results have to be presented to the end ...the data to the end user. Similarity of the mined results with the display characteristic has to be ascertained and the display / visualisation ... See full document

... volatility data have not been developed yet. We propose a new hybrid model, which is constructed by a low-pass filter, the autoregressive neural network and an autoregressive ...volatility data is ... See full document