25) Ashok Yaganti (Class ID: 46) Article: Data Mining with Big Data (Paper-1) This paper addresses the complications being faced by Big Data because of increase in the volume, complexity of data and due to multiple sources, which produces large number of data sets. With the increase of big data in different fields like medicine, media, social networking etc., there is a need for better processing model which can access the data at the rate at which the data increases. This paper proposed a processing
Data-mining and the concept of 'Big Data ' are ideas that have grown in popularity over the last three decades as technology has grown and expanded so rapidly. Iqbal Pittawala explains that “Big Data refers to a technology phenomenon that has arisen since the mid-1980s. As computers [improve], growing storage and processing capacities [provide] new and powerful ways to gain insight into the world by sifting through the infinite quantities of data available” (Pittalwala, 1). With the increase of
“Torture data long enough and it will confess. . . but may not tell the truth” (Turbin, Volonino, & Woods, 2015, p. 88). In the world of Big Data Analytics (BDA), companies who successfully harness the potential of big data are rewarded with valuable insight that could lead to a competitive advantage in their market sector. Consequently, it is imperative to successfully extract data from all relevant data sources that can provide answers to questions that companies set out to answer with BDA.
Efficient Subgraph Mining Algorithm on Big Data Sumit Rajendra Surwase (Author) dept. of Computer Engineering Sardar Patel Institute of Technology, Andheri(west) line 3-Mumbai, India email@example.com Prof. Jyoti Ramteke (Author) dept. of Computer Engineering Sardar Patel Institute of Technology, Andheri(west) Mumbai, India firstname.lastname@example.org Abstract— Frequent subgraph mining (FSM) is a crucial task for explorative information analysis on graph information. Over the years
4.6 Big Data Issues, and Challenges There are many fundamental issue areas that need to be addressed in dealing with big data: data acquisition, data storage, data transfer, data management, and data processing. Each of these issues represents a large set of technical research problems and challenges in its own right. 1. Data acquisition Variety of data sources and the huge volumes of data make accessing data and data acquisition major issue and big challenge needs more research attentions. 2
Abstract- Big data is a hot research topic in today’s world. Data has become an indispensable part of every economy, industry, organization, business function and individual. With the fast growth now-a-days organizations has filled with the collection of millions of data with large number of combinations. This big data challenges over business problems. Big Data is a new term used to identify the datasets that due to their large size and complexity. Big Data mining is the capability of extracting
of data we have access to today. This large amount of data can be overwhelming. While it once seemed impossible to sort through and extract meaningful patterns from these enormous amounts of data, automated data processing techniques have significantly advanced.
as Hadoop has gone another step with the ability to store and process the data within the same system which sparked new buzz about “big data”. Big Data is roughly the collection of large amounts of data – sourced internally or externally - applied as a tool – stored, managed, and analyzed - for an organization to set or meet certain goals. The authors of  aim to dispel some of the current hype surrounding big data, mainly the misnomer that it is all about technology and the process is automated
cross-referenced discussions by glossographer? Big Data processing is an excellent example for this type of summarization program, as the information comes from heterogeneous, multiple, autonomous sources with complex and making their relationships, and keeps increaing. Along with the above example, now a day the era of Big Data has arrived , .Within the past two years 90 percent of the data in the world today were produced and 2.5 quintillion bytes of data are created every day. As the invention
Privacy Issues in Data mining and Data Publishing: With the buzz around many big data applications, privacy concerns regarding their uses have also grown. With the personal data has been mined and published every day, the battle to reclaim the privacy starts vigorously. E-commerce websites harvests information about all the online searches of customers. Social Media exposes the likes and preferences of people, their photos and all their daily activities. Video surveillance monitors the movement of