Browsing by Author "Joshi, Hiren D"

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    Journey of Information Retrieval to Information Retrieval Tools - IR&IRT A Review
    (INFLIBNET Centre, 2017-08) Gondaliya, Tapan P; Joshi, Hiren D
    We can say that after thousands of year’s public have to realize and know the value of archiving and finding the information. With the invention of computers, it becomes possible to store a large amount of data and finding the useful information from them. Basically Information retrieval field’s was dawn in year 1950. [1] Meaning of term Information retrieval can be a very wide. Information Retrieval is one kind of activity that main goal is to obtaining the data resources according to the information needed from a collection of information resources. In this kind of activity search is mainly based on the full text or metadata and other content based indexing. [2] Information Retrieval is mainly used for searching some particular result from the large amount of data. Best example of the information retrieval is searching a strings in particular web search engine. In this paper we first of all describe the Information retrieval &its process cycle after that different model of IR and in next phase of this paper we describe the three different Information Retrieval Tools and comparative study of that tool
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    New Big Things in Era of Digital Data: ‘Big Data’& Big Data Challenges with its Solution Using Different Tools
    (INFLIBNET Centre, 2015-03-12) Gondaliya, Tapan P; Joshi, Hiren D; Joshi, Hardik J
    One of the new technologies recently evaluated is called the ‘Big Data”. Now a day’s in this digital data era everything is digital like an e-library, e-mail, e-shopping, e-ticket, e-payment, e-governance and many more. People used more and more websites for entertainment like a facebook, twitter, and youtube for video, photos, twits, and data downloads as well as uploads on the internet. Internet has stored a massive amount of data or information that is in the zeta or in Exabyte’s it is nothing but the Big Data. According to IDC in future the growth of data will never stop and it will become in 7910 Exabyte’s in end of year 2015. Big Data is basically in the format of uncompressed data so it is very large, complex and difficult to process in traditional data processing application. So in this kind of massive dataset it’s very difficult to visualize, analyze, search, storage and transfer the data for any of the organization or company. And these are the biggest challenges for big company to how to solve this kind of problem. Behind this paper our main motive is to describe the reality of big data, how can different big data with the traditional database, what are the different types of big data, characteristic of big data and in actual how its work with different tools and technology and how company can face these big challenges using these tools. Here we also describe the comparative study of different tools that is basically used for analyze, visualize, store and transfer a big data.