Download Computational Intelligence in Data Mining - Volume 2: by Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, PDF

By Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra

The contributed quantity goals to explicate and tackle the problems and demanding situations that of seamless integration of the 2 center disciplines of machine technological know-how, i.e., computational intelligence and information mining. info Mining goals on the computerized discovery of underlying non-trivial wisdom from datasets by way of employing clever research thoughts. The curiosity during this study quarter has skilled a substantial progress within the final years because of key components: (a) wisdom hidden in corporations’ databases could be exploited to enhance strategic and managerial decision-making; (b) the massive quantity of information controlled through agencies makes it very unlikely to hold out a handbook research. The ebook addresses diversified tools and methods of integration for boosting the final target of information mining. The ebook is helping to disseminate the data approximately a few leading edge, energetic examine instructions within the box of knowledge mining, laptop and computational intelligence, besides a few present matters and purposes of comparable topics.

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Extra resources for Computational Intelligence in Data Mining - Volume 2: Proceedings of the International Conference on CIDM, 20-21 December 2014

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6. txt file. 7. Read the next bit in the binary sequence. 8. Repeat the steps 3–7 for the datablocks in the text file. The information to be kept secret by the cloud user are Initial Vector values. (X1, X2, X3, X4,... Xm), Initial Coefficients. (C0, C1, C2, C3,…Cm−1), keyword1, keyword2, Random number randno, Number of characters in the block −q. In this, the initial vector values and the coefficients are used for generating the binary sequence. From the keyword1 and keyword2, two keys are generated.

We ensure that the data stored in the untrusted cloud server is confidential by developing a new data encryption algorithm. Unlike other encryption algorithms, our encryption algorithm needs lesser computation overhead. Encryption and decryption algorithms are developed in java and Remote Method Invocation (RMI) concepts are used for communication between client and server. Simulation environment is set up with the eucalyptus tool. This technique provides the data confidentiality with minimum computational overhead of the client.

2 presents the data collection method used and the sequence of preprocessing steps done. Section 3 describes the feature extraction procedure for the four feature sets. The classifier used is introduced in Sect. 4. Section 5 presents the experimental results and discussions and finally conclusion is presented in Sect. 6. 2 Data Collection and Preprocessing Malayalam belongs to the Dravidian family of languages which has official language status in Kerala. The complete character set of Malayalam consists of 15 vowels, 36 consonants, 5 chillu, 9 vowel signs, 3 consonant signs, 3 special characters and 57 conjunct consonants.

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