TY - JOUR AU - Mishra, Devendra Kumar PY - 2018/02/28 Y2 - 2024/03/29 TI - CHALLENGES IN TEXT MINING FOR BUSINESS INTELLIGENCE JF - International Journal of Engineering Technologies and Management Research JA - Int. J. Eng. Tech. Mgmt. Res. VL - 5 IS - 2 SE - Articles DO - 10.29121/ijetmr.v5.i2.2018.660 UR - https://www.granthaalayahpublication.org/ijetmr-ojms/ijetmr/article/view/IJETMR18-CINSP-39 SP - 301-304 AB - <p><em><strong>Today is the era of internet; the internet represents a big space where large amounts of data are added every day. This huge amount of digital data and interconnection exploding data. Big Data mining have the capability to retrieving useful information in large datasets or streams of data. Analysis can also be done in a distributed environment. The framework needed for analysis to this large amount of data must support statistical analysis and data mining. The framework should be design in such a way so that big data and traditional data can be combined, so results that come analyzing new data with the old data. Traditional tools are not sufficient to extract information those are unseen.</strong></em></p> ER -