TITLE

Using Machine Learning on Sensor Data

AUTHOR(S)
Moraru, Alexandra; Pesko, Marko; Porcius, Maria; Fortuna, Carolina; Mladenic, Dunja
PUB. DATE
December 2010
SOURCE
Journal of Computing & Information Technology;Dec2010, Vol. 18 Issue 4, p341
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
No abstract available.
ACCESSION #
58775046

 

Related Articles

  • A Robust Tree Induction Method Based on Heuristics and Cluster Analysis. Kerdprasop, Nittaya; Kerdprasop, Kittisak // International Journal of Database Theory & Application;Jun2012, Vol. 5 Issue 2, p17 

    Data mining is the process of extracting useful and yet unknown information such as patterns or associations hidden in stored data. Among various existing techniques applied to search for interesting patterns, decision tree is one of the most popular tools used for data mining. Most data mining...

  • Performance Investigation of different Classification Algorithms Using Waikato Environment for Knowledge Analysis. Daniel, G. Victor; Demoli, G. Sunny; Prathyusha, P.; Kumar, K. Suresh // International Journal of Advanced Research in Computer Science;Apr2014 Special Issue, Vol. 5 Issue 4, p202 

    Data mining refers to the task of extracting knowledge or hidden interesting patterns from the large volumes of data. Classification is one of the data mining functionalities which refer to the process of finding a model to predict the class label of objects whose class is unknown. This paper...

  • A New Cooperative Algorithm Based on PSO and K-Means for Data Clustering. Neshat, Mehdi; Yazdi, Shima Farshchian; Yazdani, Daneyal; Sargolzaei, Mehdi // Journal of Computer Science;2012, Vol. 8 Issue 2, p188 

    Problem statement: Data clustering has been applied in multiple fields such as machine learning, data mining, wireless sensor networks and pattern recognition. One of the most famous clustering approaches is K-means which effectively has been used in many clustering problems, but this algorithm...

  • Effects of Gain, Cost, and Number of Massages on Energy Efficiency Algorithm of Wireless Networking. Helal Abu-Ein, Ashraf Abdel-Karim // European Journal of Scientific Research;Feb2009, Vol. 27 Issue 3, p426 

    Modern communication networks systems generate large amounts of operational data. These massive collections of network-management data can grow in the order of several Terabytes per year, and typically hide "knowledge" that is crucial to some of the key tasks involved in effectively managing a...

  • Meta-Learning With Landmarking: A Survey. Balte, Ashvini; Pise, Nitin; Kulkarni, Parag // International Journal of Computer Applications;Nov2014, Vol. 105 Issue 1-18, p47 

    Everyday large amount of data is generated. Data mining is a technique that extracts significant information from raw data using different classifiers. Meta-learning is machine learning technique that supports data mining for choosing appropriate classifier. Instead of whole data set,...

  • A New Seed-Set Finding Approach for Iso-Surface Extraction. CHUAN-KAI YANG; CHIANG-HAN HUNG; Tong-Yee Lee // Journal of Information Science & Engineering;Nov2008, Vol. 24 Issue 6, p1771 

    Iso-surface extraction is one of the most important approaches for volume rendering, and iso-contouring is one of the most effective methods for iso-surface extraction. Unlike most other methods having their search domain be the whole dataset, iso-contouring does its search only on a relatively...

  • An Efficient Single-Pass Algorithm for Mining Association Rules from Wireless Sensor Networks. Tanbeer, Syed Khairuzzaman; Ahmed, Chowdhury Farhan; Byeong-Soo Jeong // IETE Technical Review (Medknow Publications & Media Pvt. Ltd.);2009, Vol. 26 Issue 4, p280 

    With advances in technology, use of wireless sensor networks (WSNs) has widely increased in recent decades. In general, WSNs produce a large amount of data in the form of streams. Recently, data-mining techniques have received a great deal of attention for their utility in extracting knowledge...

  • Data preprocessing techniques for classification without discrimination. Kamiran, Faisal; Calders, Toon // Knowledge & Information Systems;Oct2012, Vol. 33 Issue 1, p1 

    Recently, the following Discrimination-Aware Classification Problem was introduced: Suppose we are given training data that exhibit unlawful discrimination; e.g., toward sensitive attributes such as gender or ethnicity. The task is to learn a classifier that optimizes accuracy, but does not have...

  • DATA MINING WITH REGRESSION TECHNIQUE. SINGH, NANHAY; RAW, RAM SHRINGAR; CHAUHAN, R. K. // Journal of Information Systems & Communication;2012, Vol. 3 Issue 1, p199 

    Extracting patterns and models of interest from large databases is attracting much attention in a variety of disciplines. Knowledge discovery in databases (KDD) and data mining are areas of common interest to researchers in machine learning, pattern recognition, statistics, artificial...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics