7/26/2019 Drift Explanation

1/2

Drift ante businesss process change, process mining ante business or organisations lo chese activities or work ni mining cheyadam,

CONCEPT DRIFTS CHARECTERIZATION AND DETECTION IN PROCESS MINING business or ogranisation lo jarige processes lo changes ni identify cheyadame e project.

ABstract:

Actual ga business process lo change ni analyse cheyadam very important. manam chepalem business lo changes yela vasthundho. business lo changes season vala ravachu, or work chese employe activities valla ravachu, nature diasters valla ravachu ante vathavarana vipathulu, so e changes ni analyse chesthe future lo mana jgratha padadaniki business ni improve cneyadaniki use avthundhi.

introduction :oka business sucess avalante aa business organisation thisukune steps paine depend ayi vuntundhu. e poti prapancham lo business development fast ga jaragalannabaga develop avalanna process change anedhi very important. busniess developmentmana thisukune steps and mana chutu vunna parishthithula nu anusarinchi untundhi. so manam AArthika parishithulanu bati mana business lo changes ni and present

market ki anugunam ga changes ni chesukuntu povali. so ee business process changes ni identify cheyadam lo major ga 3 issues ni consider cheyali 1. Change yepudu vachindhi 2. Change yendhuku ye paristhithulalo vachindhi 3. Change ye process lo vachindhi

Existing System :

Existing system only business process lo differences ni matrame identify chesthudi.And process states steady state lo untene drifts ni calculate cheyagaladhu and today business process lo online analysis very important that means day to daybusiness process change detection is important to improve business. but existing system it is still offline analysis.

Draw backs in Existing System:1. Process change ni detect cheyadaniki proper Process presentation lekapovadam2. Process change detection still offline lo ne jaragadam3. only single change point matrame detect cheyadam4. process change ni detect chesthundhi kani change yendhuku yela vachindho identify cheyaka povadam

Proposed System:manam oka kotha method ni propose chesthunam business process lo changes ni detect cheyadaniki. e proposed method lo business process change ni event logs ni base chesukoni detect chestunam. manam chese business process ki day to day manamevent log mantain chestham. e event log lo ye process ye time lo yela jaruguthan

dhi enedhi record chesthu untam daily. so ee logs every point dhagara process change anedhi record avthu untundhi. so e log ni base chesukone business process lo yekkuva veriyetion yekada vachindho kanukovadam easy avthundhu.

for example : mi college lo process ye anuko. exam fee katali exam fee katalante dhani process ila undhi anuko.1. No due thisukovali andhari dhagara - a2. No due ayaka exam section kelli amount katali - b3. Amount kataka application thisukovali - c4. Application fill chesaka Submit Cheyali - d

idhi process exam fee kattai ani vachina students andharu e process ne follow avthuntaru so event logs exam fee process ki ee stepss ye record avthu untundhi.

oka roju principle process change chesthu vuntadu konni paristhithulava

1. No due thisukovali andhari dhagara - a

7/26/2019 Drift Explanation

2/2

2. No due ayaka exam section kelli amount katali -b3. Amount kataka application thisukovali - c4. Application fill chesaka Submit Cheyali - d5. Submit chesaka book lo sign cheyali - e

ee process lo pedha change ledhu ok

malli kodhi rojulu tharuvath malli process change chesaru

1. No due thisukovali andhari dhagara -a2. No due ayaka Account section kelli amount katali e3. tharuvatha account section nundi receipt thisukoni exam section keli receiptchupali -b4. Appudu vallu application istharu andhi thisukoni - c5. Application fill chesaka Submit Cheyali -d6. Submit chesaka book lo sign cheyali - e

EE process lo chala change undhi .

ila business process lo kuda change detection anedhi very important because ofdevelopemt.

Advantages :1. mana proposed method lo event logs base chesukoni chesthunam kanuka process traces ni consider cheyadam easy2. mana proposed method lo process change detection ye kakunda change yendhukuvachindhi anedhi kuda identiy cheyadam3. multipe changes ni kuda chupisthundhi

System Architecture:

A fig li mana proposed method lo two types of analysis untundhi

1. Offine Analysis : particual period change detection

2. Online Analysis : day to day change detection

Algotithm:

1. event log nundi process ki sambandhinchi events anitini oka set ga thisukuntam A2. Tharuvatha events ki traces ni create chestham let t=t(1),t(2),t(3),..t(n) anedhi process ki traces3. tharuvatha ee traces ki madhya variations ni kalkuate chestham for exam.

paina exampl thisukotrace 1: abcdtrace 2: abcdetrace 3: aebdeSo 2 traces chudu a tharuvatha b vasthunadhi but 3 lo a tharuvatha e vachindhiso this is change

Modules :