AADHITYAA INFOMEDIA SOLUTIONS PVT. LTD (AADHITYAA) is the pioneer company offering Data Mining Projects in Chennai for all final year students across India. Aadhityaa brings more relationship with personalized, responsive real time between students and companies.

Samples of Data Mining are as follows

This is a Data Mining Project. In Existing System, computer based movie rating process happens, that too no proper rating is happening. In the Proposed System, we use the Android based user feedbacks are about only movie is obtained using SVM technique and feature based extraction method. User can select the feature and can provide positive and negative feedback. We use steaming algorithm to extract the proper feedback. Modification in this Data Mining Project, User id is provided by verifying the mobile number, so it can avoid same user’s re-feedback provision. We also provide same implementation for product review also.

ALGORITHM / METHODOLOGY: SVM, Machine Based Approach

DOMAIN: Mobile Computing, Android, Data Mining

This is a Data Mining Project. In the Existing System, The emergence of P2P file sharing applications, millions of users have used P2P systems to search desired data. Existing P2P full-text search schemes can be divided into two types: DHT based global index and federated search engine over unstructured protocols. In the Proposed System, To overcome this issues we propose a novel strategy, called BloomCast, to support efficient and effective full-text retrieval in this paper. BloomCast hybridizes a lightweight DHT with an unstructured P2P overlay to support random node sampling and network size estimation. Furthermore, we propose an option of using Bloom Filter encoding instead of replicating the raw data. Using such an option, Bloom Cast replicates Bloom Filters (BF) of a document. By replicating the encoded term sets using BFs instead of raw documents among peers, the communication/storage costs are greatly reduced, while the full-text multi keyword searching are supported. Modification in this Data Mining Project, is to identify the best documentation by applying Stemming Algorithm so that keywords are extracted and compared with requested term frequency using Ranking Process.

ALGORITHM / METHODOLOGY: Bloom Filter, Stemming, Ranking, Scoring

DOMAIN: Data Mining , Networking