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Challenges in Big Data Application: A Review
New invention of advanced technology, enhanced capacity of storage media, maturity of information technology and popularity of social media, business intelligence and scientific invention, produces huge amount of data which made ample set of information that is responsible for birth of new concept well known as big data. Big data...
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Enhancing Dynamic Capacity Scheduler for Data Intensive Jobs
Management of big data is a challenging issue. The MapReduce environment is the widely used key solution for data intensive jobs. The authors will analyze map reduce pipelining and along with processing of map phase and reduce phase. Core schedulers FIFO, fair and capacity schedulers have been discussed. The scheduler...
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Internet of Things (IoTs) is considered to be one of the most recent emerging trends which connect variety of physical objects embedded with electronics equipment's for achieving a particular goal. Since 2013 the concept of IoT has been introduced in the field of networking for converging multiple devices and technologies....
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Efficient Mining of High Utility Sequential Pattern from Incremental Sequential Dataset
Frequent pattern mining is modified by sequential pattern mining to consider time regularity which is further enhanced to High Utility Sequential (HUS) pattern mining by incorporating utility into sequential pattern mining for business value and impact. In the process of mining HUS, when new sequences are added into the existing...
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Outlier Detection in Dataset using Hybrid Approach
Outlier is a data point that deviates too much from the rest of dataset. Most of real-world dataset have outlier. Outlier analysis is one of the techniques in data mining whose task is to discover the data which have an exceptional behavior compare to remaining dataset. Outlier detection plays an...
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A Data Verification Process by Homomorphism Encryption in Cloud
Data access control is an effective way to ensure the data security in the cloud. Due to data outsourcing, untrusted cloud servers, and the data access control becomes a challenging issue in cloud storage systems. Cloud computing has been the most promising innovation in the computing world in past decade....
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The concept of big data has been endemic within computer science since the earliest days of computing. "Big data" originally meant the volume of data that could not be processed efficiently by traditional database methods and tools. Big data has three dimensions, volume, variety and velocity. Big data technologies describe...
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Big Data: Wiki Data Mining in Hadoop
Big data facts are actually a good all-encompassing term for virtually any collection sets are large and complex. Then the data sets are becomes difficult to using traditional facts processing applications. Because petra bytes of data involving unstructured data. So this information storage as well as processing is difficultly, so...
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Optimization of Artificial Bee Colony Algorithm for Clustering in Data Mining
Data mining is a powerful new technology, which aims at the extraction of hidden predictive information from large databases. Data pre-processing involves many tasks including detecting outliers, recovering incomplete data and correcting errors. Outlier detection is an important pre-processing task. It is a task that finds objects that are dissimilar...
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Secure Communication Using Privacy Preserving in a Data Mining
The word privacy refers here the information about the authors that they feel is personal, confidential or private should not be unnecessarily distributed or publicly known. This paper describes the problem of Privacy Preserving Data Mining (PPDM). Data mining is the process of extracting hidden information from the database. The...
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